Cloud computing has developed progressively prevalent for data owners to outsource their data to public cloud servers
while consenting data users to reclaim this data. For isolation disquiets, a secure rifle over encrypted cloud data has stirred numerous
research mechanisms underneath the particular owner model. Conversely, most cloud servers in practice do not just assist one owner,
as an alternative, their sustenance gives multiple owners to share the assistances carried by cloud computing. In this proficient and
confidentiality-Preserving Multi-Keyword Ranked Search over Encrypted Cloud Data, new schemes to deal with Privacy preserving
Ranked Multi-keyword Search in a Multi-owner model (PRMSM) has been introduced. To facilitate cloud servers to execute secure
search without knowing the actual data of both keywords and trapdoors, we thoroughly build a novel secure search protocol. To rank
the search results and domain the privacy of relevance scores amongst keywords and files. To thwart the assailants from snooping
secret keys and fantasizing to be legal data users submitting pursuits, a novel dynamic secret key generation protocol and a new data
user authentication protocol is discussed.
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...redpel dot com
This document summarizes a research paper that proposes a new efficient multi-keyword ranked search (EMRS) scheme over encrypted mobile cloud data through blind storage. The key contributions are:
1) It introduces a relevance score to the searchable encryption scheme to enable multi-keyword ranked search over encrypted documents. It also constructs an efficient index to improve search efficiency.
2) It modifies the blind storage system to solve the trapdoor unlinkability problem and conceal the search user's access pattern from the cloud server.
3) It provides security analysis showing the EMRS can achieve confidentiality of documents/index, trapdoor privacy, unlinkability, and conceal access patterns while experiments show it improves efficiency over existing proposals.
Review on Key Based Encryption Scheme for Secure Data Sharing on CloudIRJET Journal
This document reviews key-based encryption schemes for secure data sharing on cloud. It discusses how traditional encryption techniques are not suitable for large scale data sharing due to complex key management. A key-based encryption scheme is proposed that allows a data owner to generate an aggregate encryption key and submit a single aggregate trapdoor for keyword search. This reduces key management complexity and the number of trapdoors needed compared to traditional techniques. The proposed scheme uses seven polynomial algorithms for security including key generation, encryption, key extraction and trapdoor generation. It aims to provide an effective solution for secure and scalable data sharing using cloud storage.
This document proposes a system for enabling secure and efficient ranked keyword search over outsourced cloud data. It summarizes that existing searchable encryption techniques only support basic Boolean search and do not consider relevance ranking. The proposed system explores using relevance scores from information retrieval to build a searchable index and develops a one-to-many order-preserving mapping technique to protect sensitive score information, allowing efficient server-side ranking without compromising keyword privacy. The system provides ranked search results while maintaining strong security guarantees.
Privacy preserving multi-keyword ranked search over encrypted cloud data 2Swathi Rampur
This document proposes and defines the problem of privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE). It establishes strict privacy requirements for such a system, including data privacy, index privacy, keyword privacy and trapdoor privacy. It presents the MRSE framework with four algorithms: Setup, BuildIndex, Trapdoor and Query. The Query algorithm allows cloud servers to perform a ranked search on encrypted indexes and return similarity-ranked results, while preserving privacy.
E FFICIENT D ATA R ETRIEVAL F ROM C LOUD S TORAGE U SING D ATA M ININ...IJCI JOURNAL
Cloud computing is an emanating technology allowing
users to perform data processing, use as storage
and data admission services from around the world t
hrough internet. The Cloud service providers charge
depending on the user’s usage. Imposing confidentia
lity and scalability on cloud data increases the
complexity of cloud computing. As sensitive informa
tion is centralized into the cloud, this informatio
n must
be encrypted and uploaded to cloud for the data pri
vacy and efficient data utilization. As the data be
comes
complex and number of users are increasing searchin
g of the files must be allowed through multiple
keyword of the end users interest. The traditional
searchable encryption schemes allows users to searc
h in
the encrypted cloud data through keywords, which su
pport only Boolean search, i.e., whether a keyword
exists in a file or not, without any relevance of d
ata files and the queried keyword. Searching of dat
a in the
cloud using Single keyword ranked search results to
o coarse output and the data privacy is opposed usi
ng
server side ranking based on order-preserving encry
ption (OPE)
IRJET - K-Gram based Composite Secret Sign Search Over Encrypted Cloud In...IRJET Journal
This document presents a proposed system called K-Gram based Composite Secret Sign Search over Encrypted Cloud Information. The system aims to provide a qualified search scheme for cloud storage data using multi-keyword search. It uses fuzzy keyword sets to account for spelling errors when searching encrypted file names in the cloud server. If a search keyword matches, related fuzzy keywords are used to search file lists. Experimental results demonstrate that the proposed solution can greatly boost privacy protection, scalability and query processing time efficiency over existing methods. The system considers keyword frequency when ranking search results to better protect user data privacy. It consists of modules for user login, file upload, frequent keyword search, similarity search, linear search, email alerts and file downloading.
NEW SECURE CONCURRECY MANEGMENT APPROACH FOR DISTRIBUTED AND CONCURRENT ACCES...ijiert bestjournal
Handover the critical data to the cloud provider sh ould have the guarantee of security and availabilit y for data at rest,in motion,and in use. Many alternatives sys tems exist for storage services,but the data confi dentiality in the database as a service paradigm are still immature. We propose a novel architecture that integrates clo ud database services paradigm with data confidentiality and exe cuting concurrent operations on encrypted data. Thi s is the method supporting geographically distributed client s to connect directly and access to an encrypted cl oud database,and to execute concurrent and independent operation s by using modifying the database structure. The proposed architecture has also the more advanta ge of removing intermediate proxies that limit the flexibility,availability,and expandability properties that are inbuilt in cloud-based systems. The efficacy of th e proposed architecture is evaluated by theoretical analyses a nd extensive experimental results with the help of prototype implementation related to the TPC-C standard benchm ark for various categories of clients and network l atencies. We propose a multi-keyword ranked search method for the encrypted cloud data databases,which simultan eously fulfill the needs of privacy requirements. The prop osed scheme could return not only the exact matchin g files,but also the files including the terms latent semantica lly associated to the query keyword.
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...redpel dot com
This document summarizes a research paper that proposes a new efficient multi-keyword ranked search (EMRS) scheme over encrypted mobile cloud data through blind storage. The key contributions are:
1) It introduces a relevance score to the searchable encryption scheme to enable multi-keyword ranked search over encrypted documents. It also constructs an efficient index to improve search efficiency.
2) It modifies the blind storage system to solve the trapdoor unlinkability problem and conceal the search user's access pattern from the cloud server.
3) It provides security analysis showing the EMRS can achieve confidentiality of documents/index, trapdoor privacy, unlinkability, and conceal access patterns while experiments show it improves efficiency over existing proposals.
Review on Key Based Encryption Scheme for Secure Data Sharing on CloudIRJET Journal
This document reviews key-based encryption schemes for secure data sharing on cloud. It discusses how traditional encryption techniques are not suitable for large scale data sharing due to complex key management. A key-based encryption scheme is proposed that allows a data owner to generate an aggregate encryption key and submit a single aggregate trapdoor for keyword search. This reduces key management complexity and the number of trapdoors needed compared to traditional techniques. The proposed scheme uses seven polynomial algorithms for security including key generation, encryption, key extraction and trapdoor generation. It aims to provide an effective solution for secure and scalable data sharing using cloud storage.
This document proposes a system for enabling secure and efficient ranked keyword search over outsourced cloud data. It summarizes that existing searchable encryption techniques only support basic Boolean search and do not consider relevance ranking. The proposed system explores using relevance scores from information retrieval to build a searchable index and develops a one-to-many order-preserving mapping technique to protect sensitive score information, allowing efficient server-side ranking without compromising keyword privacy. The system provides ranked search results while maintaining strong security guarantees.
Privacy preserving multi-keyword ranked search over encrypted cloud data 2Swathi Rampur
This document proposes and defines the problem of privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE). It establishes strict privacy requirements for such a system, including data privacy, index privacy, keyword privacy and trapdoor privacy. It presents the MRSE framework with four algorithms: Setup, BuildIndex, Trapdoor and Query. The Query algorithm allows cloud servers to perform a ranked search on encrypted indexes and return similarity-ranked results, while preserving privacy.
E FFICIENT D ATA R ETRIEVAL F ROM C LOUD S TORAGE U SING D ATA M ININ...IJCI JOURNAL
Cloud computing is an emanating technology allowing
users to perform data processing, use as storage
and data admission services from around the world t
hrough internet. The Cloud service providers charge
depending on the user’s usage. Imposing confidentia
lity and scalability on cloud data increases the
complexity of cloud computing. As sensitive informa
tion is centralized into the cloud, this informatio
n must
be encrypted and uploaded to cloud for the data pri
vacy and efficient data utilization. As the data be
comes
complex and number of users are increasing searchin
g of the files must be allowed through multiple
keyword of the end users interest. The traditional
searchable encryption schemes allows users to searc
h in
the encrypted cloud data through keywords, which su
pport only Boolean search, i.e., whether a keyword
exists in a file or not, without any relevance of d
ata files and the queried keyword. Searching of dat
a in the
cloud using Single keyword ranked search results to
o coarse output and the data privacy is opposed usi
ng
server side ranking based on order-preserving encry
ption (OPE)
IRJET - K-Gram based Composite Secret Sign Search Over Encrypted Cloud In...IRJET Journal
This document presents a proposed system called K-Gram based Composite Secret Sign Search over Encrypted Cloud Information. The system aims to provide a qualified search scheme for cloud storage data using multi-keyword search. It uses fuzzy keyword sets to account for spelling errors when searching encrypted file names in the cloud server. If a search keyword matches, related fuzzy keywords are used to search file lists. Experimental results demonstrate that the proposed solution can greatly boost privacy protection, scalability and query processing time efficiency over existing methods. The system considers keyword frequency when ranking search results to better protect user data privacy. It consists of modules for user login, file upload, frequent keyword search, similarity search, linear search, email alerts and file downloading.
NEW SECURE CONCURRECY MANEGMENT APPROACH FOR DISTRIBUTED AND CONCURRENT ACCES...ijiert bestjournal
Handover the critical data to the cloud provider sh ould have the guarantee of security and availabilit y for data at rest,in motion,and in use. Many alternatives sys tems exist for storage services,but the data confi dentiality in the database as a service paradigm are still immature. We propose a novel architecture that integrates clo ud database services paradigm with data confidentiality and exe cuting concurrent operations on encrypted data. Thi s is the method supporting geographically distributed client s to connect directly and access to an encrypted cl oud database,and to execute concurrent and independent operation s by using modifying the database structure. The proposed architecture has also the more advanta ge of removing intermediate proxies that limit the flexibility,availability,and expandability properties that are inbuilt in cloud-based systems. The efficacy of th e proposed architecture is evaluated by theoretical analyses a nd extensive experimental results with the help of prototype implementation related to the TPC-C standard benchm ark for various categories of clients and network l atencies. We propose a multi-keyword ranked search method for the encrypted cloud data databases,which simultan eously fulfill the needs of privacy requirements. The prop osed scheme could return not only the exact matchin g files,but also the files including the terms latent semantica lly associated to the query keyword.
IRJET- Privacy Preserving Keyword Search over Cloud DataIRJET Journal
The document proposes a scheme for secure ranked keyword search over encrypted cloud data. It discusses encrypting data before outsourcing it to the cloud for confidentiality. An index of keyword sets is stored on a local trusted server, while encrypted data files are stored on an untrusted cloud server. When a user searches for keywords, relevant files are ranked based on criteria like term frequency and file length. The top results are then retrieved from the cloud without revealing sensitive information to unauthorized parties. The system aims to enable efficient yet private keyword searches on large amounts of outsourced encrypted data.
iaetsd Preserving private multi keyword searching with ranking by anonymous i...Iaetsd Iaetsd
This document discusses privacy-preserving multi-keyword ranked search over encrypted cloud data. It proposes assigning anonymous IDs to cloud users to hide their identities from the cloud service provider and better protect sensitive data on the cloud. The system allows data owners to encrypt and outsource data to the cloud for storage. It then builds a searchable index to allow authorized users to search for keywords without learning the content. The cloud server ranks search results based on relevance but hides information about important documents. Previous works focused on search and privacy but revealed user identities. The proposed system addresses this by anonymizing user IDs to maintain privacy under two threat models.
1) The document proposes an optimized and secured semantic-based ranking approach for keyword search over encrypted cloud data. It aims to improve search accuracy by considering keyword semantics and different keyword forms.
2) An index is created from unencrypted files containing keyword-file mappings and encrypted relevance scores. Files are encrypted before outsourcing to the cloud.
3) The approach analyzes semantics between keywords, performs stemming, and calculates relevance scores. It encrypts the index and files before outsourcing to the cloud to protect data privacy during searches.
The document proposes a system for multi-keyword ranked search over encrypted cloud data while preserving privacy. It addresses limitations in previous systems that allowed single keyword search or did not consider privacy. The proposed system uses asymmetric key encryption, a block-max index, and dynamic key generation to allow efficient retrieval of relevant encrypted data from the cloud without security breaches. It involves three parts: (1) a server that encrypts and stores data in the cloud and sends decryption keys; (2) a cloud server that handles search requests, ranks results, and responds; and (3) users that request data from the cloud server.
Survey on Privacy- Preserving Multi keyword Ranked Search over Encrypted Clou...Editor IJMTER
The advent of cloud computing, data owners are motivated to outsource their complex
data management systems from local sites to commercial public cloud for great flexibility and
economic savings. But for protecting data privacy, sensitive data has to be encrypted before
outsourcing.Considering the large number of data users and documents in cloud, it is crucial for
the search service to allow multi-keyword query and provide result similarity ranking to meet the
effective data retrieval need. Related works on searchable encryption focus on single keyword
search or Boolean keyword search, and rarely differentiate the search results. We first propose a
basic MRSE scheme using secure inner product computation, and then significantly improve it to
meet different privacy requirements in two levels of threat models. The Incremental High Utility
Pattern Transaction Frequency Tree (IHUPTF-Tree) is designed according to the transaction
frequency (descending order) of items to obtain a compact tree.
By using high utility pattern the items can be arranged in an efficient manner. Tree structure
is used to sort the items. Thus the items are sorted and frequent pattern is obtained. The frequent
pattern items are retrieved from the database by using hybrid tree (H-Tree) structure. So the
execution time becomes faster. Finally, the frequent pattern item that satisfies the threshold value
is displayed.
IRJET- Multi-Owner Keyword Search over Cloud with CryptographyIRJET Journal
This document discusses multi-owner keyword search over encrypted data stored in the cloud. It notes that most existing schemes only consider a single data owner, and require secure channels to transmit secret keys. It proposes that allowing multiple data owners to share encrypted data and enable keyword searches across this shared data addresses these limitations. The document outlines challenges like ensuring data privacy and confidentiality when outsourcing encrypted data to remote cloud servers. It reviews related work on searchable encryption schemes and their limitations in multi-owner settings. The goal is to enable efficient keyword searches across large encrypted datasets from multiple data owners stored in the cloud.
Privacy preserving multi-keyword ranked search over encrypted cloud dataIGEEKS TECHNOLOGIES
This document proposes a system called privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE). Existing searchable encryption systems only support single-keyword or boolean keyword search without result ranking. The proposed MRSE system allows a user to search for multiple keywords and returns documents ranked by relevance. It establishes privacy requirements and uses an efficient "coordinate matching" semantic to quantify document similarity based on keyword matches. The system architecture includes modules for data owners to encrypt and upload files, for users to search and download encrypted files, and for ranking search results.
Role Based Access Control Model (RBACM) With Efficient Genetic Algorithm (GA)...dbpublications
This document summarizes a research paper that proposes a new cloud data security model using role-based access control, encryption, and genetic algorithms. The model uses Token Based Data Security Algorithm (TBDSA) combined with RSA and AES encryption to securely encode, encrypt, and forward cloud data. A genetic algorithm is used to generate encrypted passwords for cloud users. Role managers are assigned to control user roles and data access. The aim is to integrate encoding, encrypting, and forwarding for secure cloud storage while minimizing processing time.
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...LeMeniz Infotech
Enabling efficient multi keyword ranked search over encrypted mobile cloud data through blind storage
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
A SECURE AND DYNAMIC MULTI-KEYWORD RANKED SEARCH SCHEME OVER ENCRYPTED CLOUD...Nexgen Technology
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
Efficient Privacy Preserving Clustering Based Multi Keyword Search IRJET Journal
This document proposes an efficient privacy-preserving clustering-based multi-keyword search system. It uses hierarchical clustering to generate clusters of encrypted documents in the cloud. The system aims to improve search efficiency while maintaining security. It utilizes EM clustering, SHA-1 hashing for deduplication, and a user revocation method. Experimental results show the framework has advantages such as efficient memory and time utilization, secure search over encrypted data, secure data storage, and deduplication.
This is a common fact nowadays to use the external third party resources for data storage and
sharing among multiple personnel of the same organization or different organizations. Such external
resources are collectively known as Cloud Computing resources. Cloud Computing resources save
time, cost and efforts required to manage the huge data of organizations. Due to the rapid growth of
using cloud services in many organizations or individuals, there are many concerns resulted. The
major concerns are data sharing, security and efficiency. Since from last 15 years, there are number
of solutions and researches were conducted and applied. Data sharing both single user and multi-user
in Cloud Computing, and hence it is required that data sharing is strongly secured, number of recent
cryptography base methods such as Identity Based Encryption or Attributed Based Encryption are
designed for secure data sharing among multiple users. All the recent methods have some limitations
and advantages. This paper addresses the current research problems of data security and privacy
preserving in cloud servers. The study was presented over different methods of cloud data security
and their comparative analysis first. At we discussed the research limitations of those methods.
Data Search in Cloud using the Encrypted KeywordsIRJET Journal
This document presents a proposed system for searching encrypted data stored in the cloud without decrypting it. The system would allow users to perform expressive boolean keyword searches using encrypted trapdoors. It aims to improve efficiency and security over existing methods by supporting boolean expressions, hiding keyword values from servers, and proving security under a formal model. The system design involves data owners encrypting documents and keywords before outsourcing to the cloud. Users generate trapdoors from a trusted center and send them to the cloud server to retrieve matching encrypted files. The goals are to enable expressive searching, efficiency, privacy of keyword values, and provable security.
A Secure and Dynamic Multi-keyword Ranked Search Scheme over Encrypted Cloud ...1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
This research analysis will go over the various encryption methods and summarize the previous research in encryption that has been done to this point. The advantages of Symmetric and Asymmetric Encryption will be discussed in terms of security and efficiency. As encryption becomes more advanced, so the need for proper key management increases as well. This paper will conclude with a look at what could be the future of cloud encryption, Homomorphic Encryption.
Define and solve the problem of effective and secure ranked keyword search over encrypted cloud data.
Ranked search greatly enhances system usability by returning the matching files in a ranked order regarding to
certain relevance criteria (e.g., keyword frequency), thus making one step closer towards practical deployment of
privecy- preserving data hosting services in Cloud Computing. To improve the security for the data retrieval from
cloud environment, the One Time Password is used. The One Time Passwod is sent to the user mail to view the
original data. The Model exhibits the Querying Process over the cloud computing infrastructure using Secured and
Encrypted Data access and Ranking over the results would benefit the usre for the getting better results.
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...LeMeniz Infotech
A secure and dynamic multi keyword ranked search scheme over encrypted cloud data
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
Blog : http://ieeeprojectspondicherry.weebly.com
Blog : http://www.ieeeprojectsinpondicherry.blogspot.in/
Youtube:https://www.youtube.com/watch?v=eesBNUnKvws
Privacy preserving multi-keyword ranked search over encrypted cloud dataNexgen Technology
The document proposes a solution called privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE) that allows searching encrypted data stored in the cloud using multiple keywords. It establishes privacy requirements for such a system and uses an efficient "coordinate matching" similarity measure to determine relevance between search queries and documents. It first presents a basic MRSE scheme based on secure inner product computation, then improves upon it with two schemes that achieve different privacy levels while introducing low overhead on computation and communication as shown by experiments on real-world datasets.
Privacy preserving multi-keyword ranked search over encrypted cloud dataIGEEKS TECHNOLOGIES
This document proposes a system called privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE). Existing searchable encryption systems only support single-keyword or boolean keyword search without result ranking. The proposed MRSE system allows multi-keyword searches over encrypted cloud data and ranks the results based on relevance to the search keywords. It establishes privacy requirements and uses an efficient "coordinate matching" semantic to capture document relevance. The system architecture includes modules for data users, owners, file upload/download and rank search over encrypted data.
This document describes a hydraulically operated device that is 30.48cm wide and 25.4cm tall. The device uses hydraulics to operate but provides no other details about its function or purpose.
IRJET- Privacy Preserving Keyword Search over Cloud DataIRJET Journal
The document proposes a scheme for secure ranked keyword search over encrypted cloud data. It discusses encrypting data before outsourcing it to the cloud for confidentiality. An index of keyword sets is stored on a local trusted server, while encrypted data files are stored on an untrusted cloud server. When a user searches for keywords, relevant files are ranked based on criteria like term frequency and file length. The top results are then retrieved from the cloud without revealing sensitive information to unauthorized parties. The system aims to enable efficient yet private keyword searches on large amounts of outsourced encrypted data.
iaetsd Preserving private multi keyword searching with ranking by anonymous i...Iaetsd Iaetsd
This document discusses privacy-preserving multi-keyword ranked search over encrypted cloud data. It proposes assigning anonymous IDs to cloud users to hide their identities from the cloud service provider and better protect sensitive data on the cloud. The system allows data owners to encrypt and outsource data to the cloud for storage. It then builds a searchable index to allow authorized users to search for keywords without learning the content. The cloud server ranks search results based on relevance but hides information about important documents. Previous works focused on search and privacy but revealed user identities. The proposed system addresses this by anonymizing user IDs to maintain privacy under two threat models.
1) The document proposes an optimized and secured semantic-based ranking approach for keyword search over encrypted cloud data. It aims to improve search accuracy by considering keyword semantics and different keyword forms.
2) An index is created from unencrypted files containing keyword-file mappings and encrypted relevance scores. Files are encrypted before outsourcing to the cloud.
3) The approach analyzes semantics between keywords, performs stemming, and calculates relevance scores. It encrypts the index and files before outsourcing to the cloud to protect data privacy during searches.
The document proposes a system for multi-keyword ranked search over encrypted cloud data while preserving privacy. It addresses limitations in previous systems that allowed single keyword search or did not consider privacy. The proposed system uses asymmetric key encryption, a block-max index, and dynamic key generation to allow efficient retrieval of relevant encrypted data from the cloud without security breaches. It involves three parts: (1) a server that encrypts and stores data in the cloud and sends decryption keys; (2) a cloud server that handles search requests, ranks results, and responds; and (3) users that request data from the cloud server.
Survey on Privacy- Preserving Multi keyword Ranked Search over Encrypted Clou...Editor IJMTER
The advent of cloud computing, data owners are motivated to outsource their complex
data management systems from local sites to commercial public cloud for great flexibility and
economic savings. But for protecting data privacy, sensitive data has to be encrypted before
outsourcing.Considering the large number of data users and documents in cloud, it is crucial for
the search service to allow multi-keyword query and provide result similarity ranking to meet the
effective data retrieval need. Related works on searchable encryption focus on single keyword
search or Boolean keyword search, and rarely differentiate the search results. We first propose a
basic MRSE scheme using secure inner product computation, and then significantly improve it to
meet different privacy requirements in two levels of threat models. The Incremental High Utility
Pattern Transaction Frequency Tree (IHUPTF-Tree) is designed according to the transaction
frequency (descending order) of items to obtain a compact tree.
By using high utility pattern the items can be arranged in an efficient manner. Tree structure
is used to sort the items. Thus the items are sorted and frequent pattern is obtained. The frequent
pattern items are retrieved from the database by using hybrid tree (H-Tree) structure. So the
execution time becomes faster. Finally, the frequent pattern item that satisfies the threshold value
is displayed.
IRJET- Multi-Owner Keyword Search over Cloud with CryptographyIRJET Journal
This document discusses multi-owner keyword search over encrypted data stored in the cloud. It notes that most existing schemes only consider a single data owner, and require secure channels to transmit secret keys. It proposes that allowing multiple data owners to share encrypted data and enable keyword searches across this shared data addresses these limitations. The document outlines challenges like ensuring data privacy and confidentiality when outsourcing encrypted data to remote cloud servers. It reviews related work on searchable encryption schemes and their limitations in multi-owner settings. The goal is to enable efficient keyword searches across large encrypted datasets from multiple data owners stored in the cloud.
Privacy preserving multi-keyword ranked search over encrypted cloud dataIGEEKS TECHNOLOGIES
This document proposes a system called privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE). Existing searchable encryption systems only support single-keyword or boolean keyword search without result ranking. The proposed MRSE system allows a user to search for multiple keywords and returns documents ranked by relevance. It establishes privacy requirements and uses an efficient "coordinate matching" semantic to quantify document similarity based on keyword matches. The system architecture includes modules for data owners to encrypt and upload files, for users to search and download encrypted files, and for ranking search results.
Role Based Access Control Model (RBACM) With Efficient Genetic Algorithm (GA)...dbpublications
This document summarizes a research paper that proposes a new cloud data security model using role-based access control, encryption, and genetic algorithms. The model uses Token Based Data Security Algorithm (TBDSA) combined with RSA and AES encryption to securely encode, encrypt, and forward cloud data. A genetic algorithm is used to generate encrypted passwords for cloud users. Role managers are assigned to control user roles and data access. The aim is to integrate encoding, encrypting, and forwarding for secure cloud storage while minimizing processing time.
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...LeMeniz Infotech
Enabling efficient multi keyword ranked search over encrypted mobile cloud data through blind storage
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
A SECURE AND DYNAMIC MULTI-KEYWORD RANKED SEARCH SCHEME OVER ENCRYPTED CLOUD...Nexgen Technology
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
Efficient Privacy Preserving Clustering Based Multi Keyword Search IRJET Journal
This document proposes an efficient privacy-preserving clustering-based multi-keyword search system. It uses hierarchical clustering to generate clusters of encrypted documents in the cloud. The system aims to improve search efficiency while maintaining security. It utilizes EM clustering, SHA-1 hashing for deduplication, and a user revocation method. Experimental results show the framework has advantages such as efficient memory and time utilization, secure search over encrypted data, secure data storage, and deduplication.
This is a common fact nowadays to use the external third party resources for data storage and
sharing among multiple personnel of the same organization or different organizations. Such external
resources are collectively known as Cloud Computing resources. Cloud Computing resources save
time, cost and efforts required to manage the huge data of organizations. Due to the rapid growth of
using cloud services in many organizations or individuals, there are many concerns resulted. The
major concerns are data sharing, security and efficiency. Since from last 15 years, there are number
of solutions and researches were conducted and applied. Data sharing both single user and multi-user
in Cloud Computing, and hence it is required that data sharing is strongly secured, number of recent
cryptography base methods such as Identity Based Encryption or Attributed Based Encryption are
designed for secure data sharing among multiple users. All the recent methods have some limitations
and advantages. This paper addresses the current research problems of data security and privacy
preserving in cloud servers. The study was presented over different methods of cloud data security
and their comparative analysis first. At we discussed the research limitations of those methods.
Data Search in Cloud using the Encrypted KeywordsIRJET Journal
This document presents a proposed system for searching encrypted data stored in the cloud without decrypting it. The system would allow users to perform expressive boolean keyword searches using encrypted trapdoors. It aims to improve efficiency and security over existing methods by supporting boolean expressions, hiding keyword values from servers, and proving security under a formal model. The system design involves data owners encrypting documents and keywords before outsourcing to the cloud. Users generate trapdoors from a trusted center and send them to the cloud server to retrieve matching encrypted files. The goals are to enable expressive searching, efficiency, privacy of keyword values, and provable security.
A Secure and Dynamic Multi-keyword Ranked Search Scheme over Encrypted Cloud ...1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
This research analysis will go over the various encryption methods and summarize the previous research in encryption that has been done to this point. The advantages of Symmetric and Asymmetric Encryption will be discussed in terms of security and efficiency. As encryption becomes more advanced, so the need for proper key management increases as well. This paper will conclude with a look at what could be the future of cloud encryption, Homomorphic Encryption.
Define and solve the problem of effective and secure ranked keyword search over encrypted cloud data.
Ranked search greatly enhances system usability by returning the matching files in a ranked order regarding to
certain relevance criteria (e.g., keyword frequency), thus making one step closer towards practical deployment of
privecy- preserving data hosting services in Cloud Computing. To improve the security for the data retrieval from
cloud environment, the One Time Password is used. The One Time Passwod is sent to the user mail to view the
original data. The Model exhibits the Querying Process over the cloud computing infrastructure using Secured and
Encrypted Data access and Ranking over the results would benefit the usre for the getting better results.
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...LeMeniz Infotech
A secure and dynamic multi keyword ranked search scheme over encrypted cloud data
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
Blog : http://ieeeprojectspondicherry.weebly.com
Blog : http://www.ieeeprojectsinpondicherry.blogspot.in/
Youtube:https://www.youtube.com/watch?v=eesBNUnKvws
Privacy preserving multi-keyword ranked search over encrypted cloud dataNexgen Technology
The document proposes a solution called privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE) that allows searching encrypted data stored in the cloud using multiple keywords. It establishes privacy requirements for such a system and uses an efficient "coordinate matching" similarity measure to determine relevance between search queries and documents. It first presents a basic MRSE scheme based on secure inner product computation, then improves upon it with two schemes that achieve different privacy levels while introducing low overhead on computation and communication as shown by experiments on real-world datasets.
Privacy preserving multi-keyword ranked search over encrypted cloud dataIGEEKS TECHNOLOGIES
This document proposes a system called privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE). Existing searchable encryption systems only support single-keyword or boolean keyword search without result ranking. The proposed MRSE system allows multi-keyword searches over encrypted cloud data and ranks the results based on relevance to the search keywords. It establishes privacy requirements and uses an efficient "coordinate matching" semantic to capture document relevance. The system architecture includes modules for data users, owners, file upload/download and rank search over encrypted data.
This document describes a hydraulically operated device that is 30.48cm wide and 25.4cm tall. The device uses hydraulics to operate but provides no other details about its function or purpose.
This document describes a footstep power generation system that converts the kinetic energy from human footsteps into usable electricity. The system uses an array of piezoelectric sensors that generate voltage when pressure is applied. The voltage is stored in a lead-acid battery and can be used to power small DC loads. A microcontroller and LCD display are used to indicate the voltage level being stored in the battery. The system was designed and implemented to harvest wasted energy from human locomotion and demonstrate piezoelectric energy harvesting.
This document describes a footstep energy generation system that converts the kinetic energy from human footsteps into electrical energy. It discusses how piezoelectric materials in the system generate electricity when compressed by footsteps. The generated electricity can then be stored in batteries and used for applications like street lighting. The system provides a sustainable energy source for places with high foot traffic and has been installed in some locations around the world.
This document describes a footstep power generation system that converts the mechanical energy from walking or running into electrical energy using piezoelectric sensors. The electrical energy is stored in a lead acid battery and can be used to power AC and DC loads. An inverter converts the DC battery voltage to AC voltage. The system provides a low-cost renewable energy solution that could power rural applications and emergency situations by harvesting wasted human biomechanical energy.
This document describes a device that generates electricity through human foot steps. It contains the following key points:
- The device uses a dynamo and rack and pinion gear system to convert the rotational motion from foot steps into linear motion, which drives a magnet inside a coil to generate electricity.
- As a person steps on an iron plate, it drives a crankshaft and gear arrangement that moves a magnet back and forth in a coil, producing direct current electricity that can be stored in a battery.
- The stored electricity generated from foot traffic on busy stairways or speed bumps could provide a useful source of power for various applications.
Piezoelectric electric based energy harvestingSubash John
Piezoelectric materials can generate an electric charge when subjected to mechanical stress. This phenomenon known as the piezoelectric effect enables piezoelectric materials to convert mechanical vibrational energy into electrical energy through a process known as energy harvesting. Common sources of vibration that can be used for piezoelectric energy harvesting include footsteps on sidewalks, movements from gym equipment, and vibrations from vehicles. The electric energy produced can be stored in batteries or capacitors and used to power small electronic devices. Piezoelectric materials have applications in various technologies including ultrasound imaging, sensors, musical instruments, and automotive engine management systems.
This document proposes and defines the problem of privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE). It establishes strict privacy requirements for such a system, including data privacy, index privacy, keyword privacy and trapdoor privacy. It presents the MRSE framework with four algorithms: Setup, BuildIndex, Trapdoor and Query. The Query algorithm allows cloud servers to perform a ranked search on encrypted indexes and return similarity-ranked results, while preserving privacy.
This document proposes and defines the problem of privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE). It establishes strict privacy requirements for such a system, including data privacy, index privacy, keyword privacy and trapdoor privacy. It presents the MRSE framework with four algorithms: Setup, BuildIndex, Trapdoor and Query. The Query algorithm allows cloud servers to perform a ranked search on encrypted indexes and return similarity-ranked results, while preserving privacy.
Privacy Preserving Ranked Multi-Keyword Search for Multiple Data Owners in Cl...1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
This document proposes an efficient multi-keyword ranked search (EMRS) scheme over encrypted mobile cloud data through blind storage. The EMRS enables search users to perform multi-keyword searches over encrypted documents stored on a cloud server and receive ranked search results based on relevance. It utilizes techniques like relevance scoring, secure k-nearest neighbor computation, and blind storage to provide search functionality while preserving security and privacy. The scheme is analyzed to demonstrate that it achieves confidentiality of documents and index, trapdoor privacy, trapdoor unlinkability, and conceals access patterns, addressing key security requirements. Experimental results show the EMRS provides improved efficiency and functionality compared to existing proposals.
Secure Data Sharing In an Untrusted CloudIJERA Editor
Cloud computing is a huge area which basically provides many services on the basis of pay as you go. One of the fundamental services provided by cloud is data storage. Cloud provides cost efficiency and an efficient solution for sharing resource among cloud users. A secure and efficient data sharing scheme for groups in cloud is not an easy task. On one hand customers are not ready to share their identity but on other hand want to enjoy the cost efficiency provided by the cloud. It needs to provide identity privacy, multiple owner and dynamic data sharing without getting effected by the number of cloud users revoked. In this paper, any member of a group can completely enjoy the data storing and sharing services by the cloud. A secure data sharing scheme for dynamic cloud users is proposed in this paper. For which it uses group signature and dynamic broadcast encryption techniques such that any user in a group can share the information in a secured manner. Additionally the permission option is proposed for the security reasons. This means the file access permissions are generated by the admin and given to the user using Role Based Access Control (RBA) algorithm. The file access permissions are read, write and delete. In this, owner can provide files with options and accepts the users using that option. The revocation of cloud user is a function generated by the Admin for security purpose. The encryption computational cost and storage overhead is not dependent on the number of users revoked. We analyze the security by proofs and produce the cloud efficiency report using cloudsim.
Efficient and Empiric Keyword Search Using CloudIRJET Journal
This document discusses efficient and empirical keyword search using cloud computing. It proposes a secure and reliable keyword search scheme across multiple clouds that allows users to search for files privately and reliably. The proposed system uses an iterative encryption approach to ensure file privacy even if multiple cloud servers collude. It implements a bloom filter tree index structure and integrity verification algorithm to securely search encrypted files across clouds and detect malicious servers. The system aims to provide an efficient and secure solution for keyword search on outsourced encrypted data stored in multiple cloud servers.
Centralized Data Verification Scheme for Encrypted Cloud Data ServicesEditor IJMTER
Cloud environment supports data sharing between multiple users. Data integrity is violated
due to hardware / software failures and human errors. Data owners and public verifiers are involved to
efficiently audit cloud data integrity without retrieving the entire data from the cloud server. File and
block signatures are used in the integrity verification process.
“One Ring to RUle Them All” (Oruta) scheme is used for privacy-preserving public auditing process. In
oruta homomorphic authenticators are constructed using Ring Signatures. Ring signatures are used to
compute verification metadata needed to audit the correctness of shared data. The identity of the signer
on each block in shared data is kept private from public verifiers. Homomorphic authenticable ring
signature (HARS) scheme is applied to provide identity privacy with blockless verification. Batch
auditing mechanism supports to perform multiple auditing tasks simultaneously. Oruta is compatible
with random masking to preserve data privacy from public verifiers. Dynamic data management process
is handled with index hash tables. Traceability is not supported in oruta scheme. Data dynamism
sequence is not managed by the system. The system obtains high computational overhead
The proposed system is designed to perform public data verification with privacy. Traceability features
are provided with identity privacy. Group manager or data owner can be allowed to reveal the identity of
the signer based on verification metadata. Data version management mechanism is integrated with the
system.
A Secure, Scalable, Flexible and Fine-Grained Access Control Using Hierarchic...Editor IJCATR
Cloud Computing is going to be very popular technology in IT enterprises. For any enterprise the data stored is very huge
and invaluable. Since all tasks are performed through network it has become vital to have the secured use of legitimate data. In cloud
computing the most important matter of concern are data security and privacy along with flexibility, scalability and fine grained access
control of data being the other requirements to be maintained by cloud systems Access control is one of the prominent research topics
and hence various schemes have been proposed and implemented. But most of them do not provide flexibility, scalability and fine
grained access control of the data on the cloud. In order to address the issues of flexibility, scalability and fine grained access control
of remotely stored data on cloud we have proposed the hierarchical attribute set-based encryption (HASBE) which is the extension of
attribute- set-based encryption(ASBE) with a hierarchical structure of users. The proposed scheme achieves scalability by handling the
authority to appropriate entity in the hierarchical structure, inherits flexibility by allowing easy transfer and access to the data in case
of location switch. It provides fine grained access control of data by showing only the requested and authorized details to the user thus
improving the performance of the system. In addition, it provides efficient user revocation within expiration time, request to view
extra-attributes and privacy in the intra-level hierarchy is achieved. Thus the scheme is implemented to show that is efficient in access
control of data as well as security of data stored on cloud with comprehensive experiments
A Secure and Dynamic Multi-keyword Ranked Search Scheme over Encrypted Cloud ...1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
Messages addressed to specific users can be decrypted by Key Generation Centre (KGC) by generating their private keys. Data owner wants the data to be delivered only to specified user and not to unauthorized person that is the data owner makes their private data accessible only to authorized person. We propose attribute based encryption and escrow problem which means written agreement delivered to a third party to overcome this problem. Attribute based Encryption (ABE) is a type of public-key encryption in which the private key of a user and the cipher text are dependent upon attributes. It is a promising cryptographic approach.
ACCESSING SECURED DATA IN CLOUD COMPUTING ENVIRONMENTIJNSA Journal
Number of businesses using cloud computing has increased dramatically over the last few years due to the attractive features such as scalability, flexibility, fast start-up and low costs. Services provided over the web are ranging from using provider’s software and hardware to managing security and other issues. Some of the biggest challenges at this point are providing privacy and data security to subscribers of public cloud servers. An efficient encryption technique presented in this paper can be used for secure access to and storage of data on public cloud server, moving and searching encrypted data through communication channels while protecting data confidentiality. This method ensures data protection against both external and internal intruders. Data can be decrypted only with the provided by the data owner key, while public cloud server is unable to read encrypted data or queries. Answering a query does not depend on it size and done in a constant time. Data access is managed by the data owner. The proposed schema allows unauthorized modifications detection.
Accessing secured data in cloud computing environmentIJNSA Journal
Number of businesses using cloud computing has increased dramatically over the last few years due to the attractive features such as scalability, flexibility, fast start-up and low costs. Services provided over the web are ranging from using provider’s software and hardware to managing security and other issues. Some of the biggest challenges at this point are providing privacy and data security to subscribers of public cloud servers. An efficient encryption technique presented in this paper can be used for secure access to and storage of data on public cloud server, moving and searching encrypted data through communication channels while protecting data confidentiality. This method ensures data protection against both external and internal intruders. Data can be decrypted only with the provided by the data owner key, while public cloud server is unable to read encrypted data or queries. Answering a query does not depend on it size and done in a constant time. Data access is managed by the data owner. The proposed schema allows unauthorized modifications detection
This document discusses effective modular order preserving encryption on cloud using multivariate hypergeometric distribution (MHGD). It begins with an abstract that describes how order preserving encryption allows efficient range queries on encrypted data. It then provides background on cloud computing security concerns and discusses existing approaches to searchable encryption, including probabilistic encryption, deterministic encryption, homomorphic encryption, and order preserving encryption. The key proposed approach is to improve the security of existing modular order preserving encryption approaches by utilizing MHGD.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
A Secure Multi-Owner Data Sharing Scheme for Dynamic Group in Public Cloud. IJCERT JOURNAL
In cloud computing outsourcing group resource among cloud users is a major challenge, so cloud computing provides a low-cost and well-organized solution. Due to frequent change of membership, sharing data in a multi-owner manner to an untrusted cloud is still its challenging issue. In this paper we proposed a secure multi-owner data sharing scheme for dynamic group in public cloud. By providing AES encryption with convergent key while uploading the data, any cloud user can securely share data with others. Meanwhile, the storage overhead and encryption computation cost of the scheme are independent with the number of revoked users. In addition, I analyze the security of this scheme with rigorous proofs. One-Time Password is one of the easiest and most popular forms of authentication that can be used for securing access to accounts. One-Time Passwords are often referred to as secure and stronger forms of authentication in multi-owner manner. Extensive security and performance analysis shows that our proposed scheme is highly efficient and satisfies the security requirements for public cloud based secure group sharing.
Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted DataCloudTechnologies
Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data M-Tech IEEE 2017 Projects B-Tech IEEE 2017 Projects Paper Publishing UGC Journals
IRJET- An EFficiency and Privacy-Preserving Biometric Identification Scheme i...IRJET Journal
This document proposes an efficient and privacy-preserving approach for outsourced data from resource-constrained mobile devices in cloud computing. It employs probabilistic public key encryption to encrypt the data and performs ranked keyword search over the encrypted data to retrieve files from the cloud. The approach aims to achieve efficient encryption without sacrificing data privacy. The ranked keyword search improves usability by returning the most relevant files and ensuring retrieval accuracy, while reducing computation and communication overhead. A thorough security and performance analysis proves the approach is semantically secure and efficient.
IRJET - Efficient and Verifiable Queries over Encrypted Data in CloudIRJET Journal
This document proposes a scheme for efficient and verifiable queries over encrypted data stored in the cloud. It aims to allow an authorized user to query encrypted documents of interest while maintaining privacy. The scheme provides a verification mechanism to allow users to check the correctness of query results and identify any valid results omitted by a potentially untrustworthy cloud server. The document reviews related work on searchable encryption and verifiable queries. It then outlines the proposed approach to build secure verifiable queries for encrypted cloud data.
We are providing training on IEEE 2016-17 projects for Ph.D Scalars, M.Tech, B.E, MCA, BCA and Diploma students for
all branches for their academic projects.
For more details call us or watsapp us @ 7676768124 0r 9545252155
Email your base papers to "adritsolutions@gmail.co.in"
We are providing IEEE projects on
1) Cloud Computing, Data Mining, BigData Projects Using JAva
2) Image Processing and Video Procesing (MATLAB) , Signal Processing
3) NS2 (Wireless Sensor, MANET, VANET)
4) ANDRIOD APPS
5) JAVA, JEE, J2EE, J2ME
6) Mechanical Design projects
7) Embedded Systems and IoT Projects
8) VLSI- Verilog Projects (ModelSim and Xilinx using FPGA)
For More details Please Visit us at
Adrit Solutions
Near Maruthi Mandir
#42/5, 18th Cross, 21st Main
Vijaynagar
Bangalore.
Similar to An proficient and Confidentiality-Preserving Multi- Keyword Ranked Search over Encrypted Cloud Data (20)
Text Mining in Digital Libraries using OKAPI BM25 ModelEditor IJCATR
The emergence of the internet has made vast amounts of information available and easily accessible online. As a result, most libraries have digitized their content in order to remain relevant to their users and to keep pace with the advancement of the internet. However, these digital libraries have been criticized for using inefficient information retrieval models that do not perform relevance ranking to the retrieved results. This paper proposed the use of OKAPI BM25 model in text mining so as means of improving relevance ranking of digital libraries. Okapi BM25 model was selected because it is a probability-based relevance ranking algorithm. A case study research was conducted and the model design was based on information retrieval processes. The performance of Boolean, vector space, and Okapi BM25 models was compared for data retrieval. Relevant ranked documents were retrieved and displayed at the OPAC framework search page. The results revealed that Okapi BM 25 outperformed Boolean model and Vector Space model. Therefore, this paper proposes the use of Okapi BM25 model to reward terms according to their relative frequencies in a document so as to improve the performance of text mining in digital libraries.
Green Computing, eco trends, climate change, e-waste and eco-friendlyEditor IJCATR
This document discusses green computing practices and sustainable IT services. It provides an overview of factors driving adoption of green computing to reduce costs and environmental impact of data centers, such as rising energy costs and density. Green strategies discussed include improving infrastructure efficiency, power management, thermal management, efficient product design, and virtualization to optimize resource utilization. The document examines how green computing aims to lower costs and environmental footprint, and how sustainable IT services take a broader approach considering economic, environmental and social impacts.
Policies for Green Computing and E-Waste in NigeriaEditor IJCATR
Computers today are an integral part of individuals’ lives all around the world, but unfortunately these devices are toxic to the environment given the materials used, their limited battery life and technological obsolescence. Individuals are concerned about the hazardous materials ever present in computers, even if the importance of various attributes differs, and that a more environment -friendly attitude can be obtained through exposure to educational materials. In this paper, we aim to delineate the problem of e-waste in Nigeria and highlight a series of measures and the advantage they herald for our country and propose a series of action steps to develop in these areas further. It is possible for Nigeria to have an immediate economic stimulus and job creation while moving quickly to abide by the requirements of climate change legislation and energy efficiency directives. The costs of implementing energy efficiency and renewable energy measures are minimal as they are not cash expenditures but rather investments paid back by future, continuous energy savings.
Performance Evaluation of VANETs for Evaluating Node Stability in Dynamic Sce...Editor IJCATR
Vehicular ad hoc networks (VANETs) are a favorable area of exploration which empowers the interconnection amid the movable vehicles and between transportable units (vehicles) and road side units (RSU). In Vehicular Ad Hoc Networks (VANETs), mobile vehicles can be organized into assemblage to promote interconnection links. The assemblage arrangement according to dimensions and geographical extend has serious influence on attribute of interaction .Vehicular ad hoc networks (VANETs) are subclass of mobile Ad-hoc network involving more complex mobility patterns. Because of mobility the topology changes very frequently. This raises a number of technical challenges including the stability of the network .There is a need for assemblage configuration leading to more stable realistic network. The paper provides investigation of various simulation scenarios in which cluster using k-means algorithm are generated and their numbers are varied to find the more stable configuration in real scenario of road.
Optimum Location of DG Units Considering Operation ConditionsEditor IJCATR
The optimal sizing and placement of Distributed Generation units (DG) are becoming very attractive to researchers these days. In this paper a two stage approach has been used for allocation and sizing of DGs in distribution system with time varying load model. The strategic placement of DGs can help in reducing energy losses and improving voltage profile. The proposed work discusses time varying loads that can be useful for selecting the location and optimizing DG operation. The method has the potential to be used for integrating the available DGs by identifying the best locations in a power system. The proposed method has been demonstrated on 9-bus test system.
Analysis of Comparison of Fuzzy Knn, C4.5 Algorithm, and Naïve Bayes Classifi...Editor IJCATR
Early detection of diabetes mellitus (DM) can prevent or inhibit complication. There are several laboratory test that must be done to detect DM. The result of this laboratory test then converted into data training. Data training used in this study generated from UCI Pima Database with 6 attributes that were used to classify positive or negative diabetes. There are various classification methods that are commonly used, and in this study three of them were compared, which were fuzzy KNN, C4.5 algorithm and Naïve Bayes Classifier (NBC) with one identical case. The objective of this study was to create software to classify DM using tested methods and compared the three methods based on accuracy, precision, and recall. The results showed that the best method was Fuzzy KNN with average and maximum accuracy reached 96% and 98%, respectively. In second place, NBC method had respective average and maximum accuracy of 87.5% and 90%. Lastly, C4.5 algorithm had average and maximum accuracy of 79.5% and 86%, respectively.
Web Scraping for Estimating new Record from Source SiteEditor IJCATR
Study in the Competitive field of Intelligent, and studies in the field of Web Scraping, have a symbiotic relationship mutualism. In the information age today, the website serves as a main source. The research focus is on how to get data from websites and how to slow down the intensity of the download. The problem that arises is the website sources are autonomous so that vulnerable changes the structure of the content at any time. The next problem is the system intrusion detection snort installed on the server to detect bot crawler. So the researchers propose the use of the methods of Mining Data Records and the method of Exponential Smoothing so that adaptive to changes in the structure of the content and do a browse or fetch automatically follow the pattern of the occurrences of the news. The results of the tests, with the threshold 0.3 for MDR and similarity threshold score 0.65 for STM, using recall and precision values produce f-measure average 92.6%. While the results of the tests of the exponential estimation smoothing using ? = 0.5 produces MAE 18.2 datarecord duplicate. It slowed down to 3.6 datarecord from 21.8 datarecord results schedule download/fetch fix in an average time of occurrence news.
Evaluating Semantic Similarity between Biomedical Concepts/Classes through S...Editor IJCATR
Most of the existing semantic similarity measures that use ontology structure as their primary source can measure semantic similarity between concepts/classes using single ontology. The ontology-based semantic similarity techniques such as structure-based semantic similarity techniques (Path Length Measure, Wu and Palmer’s Measure, and Leacock and Chodorow’s measure), information content-based similarity techniques (Resnik’s measure, Lin’s measure), and biomedical domain ontology techniques (Al-Mubaid and Nguyen’s measure (SimDist)) were evaluated relative to human experts’ ratings, and compared on sets of concepts using the ICD-10 “V1.0” terminology within the UMLS. The experimental results validate the efficiency of the SemDist technique in single ontology, and demonstrate that SemDist semantic similarity techniques, compared with the existing techniques, gives the best overall results of correlation with experts’ ratings.
Semantic Similarity Measures between Terms in the Biomedical Domain within f...Editor IJCATR
The techniques and tests are tools used to define how measure the goodness of ontology or its resources. The similarity between biomedical classes/concepts is an important task for the biomedical information extraction and knowledge discovery. However, most of the semantic similarity techniques can be adopted to be used in the biomedical domain (UMLS). Many experiments have been conducted to check the applicability of these measures. In this paper, we investigate to measure semantic similarity between two terms within single ontology or multiple ontologies in ICD-10 “V1.0” as primary source, and compare my results to human experts score by correlation coefficient.
A Strategy for Improving the Performance of Small Files in Openstack Swift Editor IJCATR
This is an effective way to improve the storage access performance of small files in Openstack Swift by adding an aggregate storage module. Because Swift will lead to too much disk operation when querying metadata, the transfer performance of plenty of small files is low. In this paper, we propose an aggregated storage strategy (ASS), and implement it in Swift. ASS comprises two parts which include merge storage and index storage. At the first stage, ASS arranges the write request queue in chronological order, and then stores objects in volumes. These volumes are large files that are stored in Swift actually. During the short encounter time, the object-to-volume mapping information is stored in Key-Value store at the second stage. The experimental results show that the ASS can effectively improve Swift's small file transfer performance.
Integrated System for Vehicle Clearance and RegistrationEditor IJCATR
Efficient management and control of government's cash resources rely on government banking arrangements. Nigeria, like many low income countries, employed fragmented systems in handling government receipts and payments. Later in 2016, Nigeria implemented a unified structure as recommended by the IMF, where all government funds are collected in one account would reduce borrowing costs, extend credit and improve government's fiscal policy among other benefits to government. This situation motivated us to embark on this research to design and implement an integrated system for vehicle clearance and registration. This system complies with the new Treasury Single Account policy to enable proper interaction and collaboration among five different level agencies (NCS, FRSC, SBIR, VIO and NPF) saddled with vehicular administration and activities in Nigeria. Since the system is web based, Object Oriented Hypermedia Design Methodology (OOHDM) is used. Tools such as Php, JavaScript, css, html, AJAX and other web development technologies were used. The result is a web based system that gives proper information about a vehicle starting from the exact date of importation to registration and renewal of licensing. Vehicle owner information, custom duty information, plate number registration details, etc. will also be efficiently retrieved from the system by any of the agencies without contacting the other agency at any point in time. Also number plate will no longer be the only means of vehicle identification as it is presently the case in Nigeria, because the unified system will automatically generate and assigned a Unique Vehicle Identification Pin Number (UVIPN) on payment of duty in the system to the vehicle and the UVIPN will be linked to the various agencies in the management information system.
Assessment of the Efficiency of Customer Order Management System: A Case Stu...Editor IJCATR
The Supermarket Management System deals with the automation of buying and selling of good and services. It includes both sales and purchase of items. The project Supermarket Management System is to be developed with the objective of making the system reliable, easier, fast, and more informative.
Energy-Aware Routing in Wireless Sensor Network Using Modified Bi-Directional A*Editor IJCATR
Energy is a key component in the Wireless Sensor Network (WSN)[1]. The system will not be able to run according to its function without the availability of adequate power units. One of the characteristics of wireless sensor network is Limitation energy[2]. A lot of research has been done to develop strategies to overcome this problem. One of them is clustering technique. The popular clustering technique is Low Energy Adaptive Clustering Hierarchy (LEACH)[3]. In LEACH, clustering techniques are used to determine Cluster Head (CH), which will then be assigned to forward packets to Base Station (BS). In this research, we propose other clustering techniques, which utilize the Social Network Analysis approach theory of Betweeness Centrality (BC) which will then be implemented in the Setup phase. While in the Steady-State phase, one of the heuristic searching algorithms, Modified Bi-Directional A* (MBDA *) is implemented. The experiment was performed deploy 100 nodes statically in the 100x100 area, with one Base Station at coordinates (50,50). To find out the reliability of the system, the experiment to do in 5000 rounds. The performance of the designed routing protocol strategy will be tested based on network lifetime, throughput, and residual energy. The results show that BC-MBDA * is better than LEACH. This is influenced by the ways of working LEACH in determining the CH that is dynamic, which is always changing in every data transmission process. This will result in the use of energy, because they always doing any computation to determine CH in every transmission process. In contrast to BC-MBDA *, CH is statically determined, so it can decrease energy usage.
Security in Software Defined Networks (SDN): Challenges and Research Opportun...Editor IJCATR
In networks, the rapidly changing traffic patterns of search engines, Internet of Things (IoT) devices, Big Data and data centers has thrown up new challenges for legacy; existing networks; and prompted the need for a more intelligent and innovative way to dynamically manage traffic and allocate limited network resources. Software Defined Network (SDN) which decouples the control plane from the data plane through network vitalizations aims to address these challenges. This paper has explored the SDN architecture and its implementation with the OpenFlow protocol. It has also assessed some of its benefits over traditional network architectures, security concerns and how it can be addressed in future research and related works in emerging economies such as Nigeria.
Measure the Similarity of Complaint Document Using Cosine Similarity Based on...Editor IJCATR
Report handling on "LAPOR!" (Laporan, Aspirasi dan Pengaduan Online Rakyat) system depending on the system administrator who manually reads every incoming report [3]. Read manually can lead to errors in handling complaints [4] if the data flow is huge and grows rapidly, it needs at least three days to prepare a confirmation and it sensitive to inconsistencies [3]. In this study, the authors propose a model that can measure the identities of the Query (Incoming) with Document (Archive). The authors employed Class-Based Indexing term weighting scheme, and Cosine Similarities to analyse document similarities. CoSimTFIDF, CoSimTFICF and CoSimTFIDFICF values used in classification as feature for K-Nearest Neighbour (K-NN) classifier. The optimum result evaluation is pre-processing employ 75% of training data ratio and 25% of test data with CoSimTFIDF feature. It deliver a high accuracy 84%. The k = 5 value obtain high accuracy 84.12%
Hangul Recognition Using Support Vector MachineEditor IJCATR
The recognition of Hangul Image is more difficult compared with that of Latin. It could be recognized from the structural arrangement. Hangul is arranged from two dimensions while Latin is only from the left to the right. The current research creates a system to convert Hangul image into Latin text in order to use it as a learning material on reading Hangul. In general, image recognition system is divided into three steps. The first step is preprocessing, which includes binarization, segmentation through connected component-labeling method, and thinning with Zhang Suen to decrease some pattern information. The second is receiving the feature from every single image, whose identification process is done through chain code method. The third is recognizing the process using Support Vector Machine (SVM) with some kernels. It works through letter image and Hangul word recognition. It consists of 34 letters, each of which has 15 different patterns. The whole patterns are 510, divided into 3 data scenarios. The highest result achieved is 94,7% using SVM kernel polynomial and radial basis function. The level of recognition result is influenced by many trained data. Whilst the recognition process of Hangul word applies to the type 2 Hangul word with 6 different patterns. The difference of these patterns appears from the change of the font type. The chosen fonts for data training are such as Batang, Dotum, Gaeul, Gulim, Malgun Gothic. Arial Unicode MS is used to test the data. The lowest accuracy is achieved through the use of SVM kernel radial basis function, which is 69%. The same result, 72 %, is given by the SVM kernel linear and polynomial.
Application of 3D Printing in EducationEditor IJCATR
This paper provides a review of literature concerning the application of 3D printing in the education system. The review identifies that 3D Printing is being applied across the Educational levels [1] as well as in Libraries, Laboratories, and Distance education systems. The review also finds that 3D Printing is being used to teach both students and trainers about 3D Printing and to develop 3D Printing skills.
Survey on Energy-Efficient Routing Algorithms for Underwater Wireless Sensor ...Editor IJCATR
In underwater environment, for retrieval of information the routing mechanism is used. In routing mechanism there are three to four types of nodes are used, one is sink node which is deployed on the water surface and can collect the information, courier/super/AUV or dolphin powerful nodes are deployed in the middle of the water for forwarding the packets, ordinary nodes are also forwarder nodes which can be deployed from bottom to surface of the water and source nodes are deployed at the seabed which can extract the valuable information from the bottom of the sea. In underwater environment the battery power of the nodes is limited and that power can be enhanced through better selection of the routing algorithm. This paper focuses the energy-efficient routing algorithms for their routing mechanisms to prolong the battery power of the nodes. This paper also focuses the performance analysis of the energy-efficient algorithms under which we can examine the better performance of the route selection mechanism which can prolong the battery power of the node
Comparative analysis on Void Node Removal Routing algorithms for Underwater W...Editor IJCATR
The designing of routing algorithms faces many challenges in underwater environment like: propagation delay, acoustic channel behaviour, limited bandwidth, high bit error rate, limited battery power, underwater pressure, node mobility, localization 3D deployment, and underwater obstacles (voids). This paper focuses the underwater voids which affects the overall performance of the entire network. The majority of the researchers have used the better approaches for removal of voids through alternate path selection mechanism but still research needs improvement. This paper also focuses the architecture and its operation through merits and demerits of the existing algorithms. This research article further focuses the analytical method of the performance analysis of existing algorithms through which we found the better approach for removal of voids
Decay Property for Solutions to Plate Type Equations with Variable CoefficientsEditor IJCATR
In this paper we consider the initial value problem for a plate type equation with variable coefficients and memory in
1 n R n ), which is of regularity-loss property. By using spectrally resolution, we study the pointwise estimates in the spectral
space of the fundamental solution to the corresponding linear problem. Appealing to this pointwise estimates, we obtain the global
existence and the decay estimates of solutions to the semilinear problem by employing the fixed point theorem
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
An proficient and Confidentiality-Preserving Multi- Keyword Ranked Search over Encrypted Cloud Data
1. International Journal of Computer Applications Technology and Research
Volume 5 issue 7, 478 – 483, 2016, ISSN: - 2319-8656
www.ijcat.com 478
An proficient and Confidentiality-Preserving Multi-
Keyword Ranked Search over Encrypted Cloud Data
Dr V. Goutham
Teegala Krishna Reddy
Engineering College
Meerpet,Telangana,India
B.Shyla Reddy
Teegala Krishna Reddy
Engineering College
Meerpet, Telangana,India
.Krishna Manasa
Teegala Krishna Reddy
Engineering College
Meerpet, Telangana,India
Abstract: Cloud computing has developed progressively prevalent for data owners to outsource their data to public cloud servers
while consenting data users to reclaim this data. For isolation disquiets, a secure rifle over encrypted cloud data has stirred numerous
research mechanisms underneath the particular owner model. Conversely, most cloud servers in practice do not just assist one owner,
as an alternative, their sustenance gives multiple owners to share the assistances carried by cloud computing. In this proficient and
confidentiality-Preserving Multi-Keyword Ranked Search over Encrypted Cloud Data, new schemes to deal with Privacy preserving
Ranked Multi-keyword Search in a Multi-owner model (PRMSM) has been introduced. To facilitate cloud servers to execute secure
search without knowing the actual data of both keywords and trapdoors, we thoroughly build a novel secure search protocol. To rank
the search results and domain the privacy of relevance scores amongst keywords and files. To thwart the assailants from snooping
secret keys and fantasizing to be legal data users submitting pursuits, a novel dynamic secret key generation protocol and a new data
user authentication protocol is discussed.
Keywords: Cloud computing, ranked keyword search, multiple owners, privacy preserving, dynamic secret key
1. INTRODUCTION
Computing is being transformed to a model consisting of
services that are commoditized and delivered in a manner
similar to utilities such as water, electricity, gas, and
telephony. In such a model, users access services based on
their requirements regardless of where the services are hosted.
Several computing paradigms have promised to deliver this
utility computing vision. Cloud computing is the most recent
emerging paradigm promising to turn the vision of
“computing utilities” into reality. A service offering
computation resources is frequently referred to as
Infrastructure as a Service (IaaS) and the applications as
Software as a Service (SaaS)[1]. An environment used for
construction, deployment, and management of applications is
called PaaS (Platform as a Service).
Fig.1: A bird’s eye view of Cloud computing
Cloud computing delivers infrastructure, platform, and
software (application) as services, which are made available
as subscription-oriented services in a pay-as-you-go model to
consumers. The price that CSPs (Cloud Service Providers)
charge depends on the quality of service (QoS) expectations
of CSCs (Cloud Service Consumers).Cloud computing fosters
elasticity and seamless scalability of IT resources that are
offered to end users as a service through the Internet. Cloud
computing can help enterprises improve the creation and
delivery of IT solutions by providing them with access to
services in a cost-effective and flexible manner [2]. Clouds
can be classified into three categories, depending on their
accessibility restrictions and the deployment model. They are:
• Public Cloud,
• Private Cloud, and
• Hybrid Cloud.
A public Cloud is made available in a pay-as-you-
go manner to the general public users irrespective of their
origin or affiliation. A private Cloud’s usage is restricted to
members, employees, and trusted partners of the organization.
A hybrid Cloud enables the use of private and public Cloud in
a seamless manner. Cloud computing applications span many
domains, including business, technology, government, health
care, smart grids, intelligent transportation networks, life
sciences, disaster management, automation, data analytics,
and consumer and social networks. Various models for the
creation, deployment, and delivery of these applications as
Cloud services have emerged.
Cloud service providers (CSPs) would promise to
certify owners’ data security using purposes like virtualization
and firewalls. Conversely, these mechanisms do not protect
owners’ data privacy from the CSP itself, since the CSP holds
full control of cloud hardware, software, and owners’ data.
Encryption on sensitive data formerly subcontracting can
realm data privacy beside CSP. Nevertheless, data encryption
sorts the traditional data utilization service based on plaintext
keyword search a very perplexing delinquent. A trifling
solution to this problem is to move all the encrypted data and
decrypt them nearby. Nonetheless, this method is evidently
impracticable since it will cause a huge amount of
communication overhead. Consequently, emerging a secure
search service over encrypted cloud data is of overriding
prominence. Secure search over encrypted data has recently
attracted the interest of many researchers. Song et al. [3] first
define and solve the problem of secure search over encrypted
2. International Journal of Computer Applications Technology and Research
Volume 5 issue 7, 478 – 483, 2016, ISSN: - 2319-8656
www.ijcat.com 479
data. They propose the conception of searchable encryption,
which is a cryptographic primitive that enables users to
perform a keyword-based search on an encrypted dataset, just
as on a plaintext dataset. Searchable encryption is additionally
developed by [4], [6]. However, these schemes are concerned
mostly with single or boolean keyword search. Encompassing
these procedures for ranked multikeyword search will acquire
heavy computation and storage costs. The main contributions
of this proficient and confidentiality-Preserving Multi-
Keyword Ranked Search over Encrypted Cloud Data are
listed as Follows: (a) a multi-owner model for privacy
preserving keyword search over encrypted cloud data is
defined. (b) an efficient data user authentication protocol,
which not only prevents attackers from eavesdropping secret
keys and pretending to be illegal data users performing
searches, but also enables data user authentication and
revocation is defined. (c) a novel secure search protocol,
which not only enables the cloud server to perform secure
ranked keyword search without knowing the actual data of
both keywords and trapdoors, but also allows data owners to
encrypt keywords with self-chosen keys and allows
authenticated data users to query without knowing these keys
is systematically constructed.
2. RELATED WORK
2.1 Searchable Encryption
The earliest attempt of searchable encryption was
made by Song et al. In [3], they propose to encrypt each word
in a file independently and allow the server to find whether a
single queried keyword is contained in the file without
knowing the exact word. This proposal is more of theoretic
interests because of high computational costs. Goh et al.
propose building a keyword index for each file and using
Bloom filter to accelerate the search [4]. Curtmola et al.
propose building indices for each keyword, and use hash
tables as an alternative approach to searchable encryption [5].
The first public key scheme for keyword search over
encrypted data is presented in [6]. [7] and [8] further enrich
the search functionalities of searchable encryption by
proposing schemes for conjunctive keyword search. The
searchable encryption cares mostly about single keyword
search or boolean keyword search. Extending these techniques
for ranked multi-keyword search will incur heavy
computation and storage costs.
2.2 Secure Keyword Search in Cloud
Computing
The privacy concerns in cloud computing motivate
the study on secure keyword search. Wang et al. first defined
and solved the secure ranked keyword search over encrypted
cloud data. In [9] and [18], they proposed a scheme that
returns the top-k relevant files upon a single keyword search.
Cao et al. [10], [11], and Sun et al. [1], [12] extended the
secure keyword search for multi-keyword queries. Their
approaches vectorize the list of keywords and apply matrix
multiplications to hide the actual keyword information from
the cloud server, while still allowing the server to find out the
top-k relevant data files. Xu et al. proposed MKQE (Multi-
Keyword ranked Query on Encrypted data) that enables a
dynamic keyword dictionary and avoids the ranking order
being distorted by several high frequency keywords [13]. Li et
al. [4], Chuah et al. [15], Xu et al. [16] and Wang et al. [7]
proposed fuzzy keyword search over encrypted cloud data
aiming at tolerance of both minor misprints and format
inconsistencies for users’ search input. [19] further proposed
privacy-assured similarity search mechanisms over
outsourced cloud data. In [10], a secure, efficient, and
distributed keyword search protocol in the geo-distributed
cloud environment. The system model of these previous
works only consider one data owner, which implies that in
their solutions, the data owner and data users can easily
communicate and exchange secret information. When
numerous data owners are involved in the system, secret
information exchanging will cause considerable
communication overhead. Sun et al. [2] and Zheng et al. [12]
proposed secure attribute-based keyword search schemes in
the challenging scenario where multiple owners are involved.
However, applying CPABE in the cloud system would
introduce problems for data user revocation, i.e., the cloud has
to update the large amount of data stored on it for a data user
revocation [14]. Additionally, they do not support privacy
preserving ranked multi-keyword search. An proficient and
confidentiality-Preserving Multi-
Keyword Ranked Search over Encrypted Cloud
Data differs from previous studies regarding the emphasis of
multiple data owners in the system model. An proficient and
confidentiality-Preserving Multi-Keyword Ranked Search
over Encrypted Cloud Data seeks a solution scheme to
maximally relax the requirements for data owners and users,
so that the scheme could be suitable for a large number of
cloud computing users.
2.3 Order Preserving Encryption
The order preserving encryption is used to prevent the
cloud server from knowing the exact relevance scores of
keywords to a data file. The early work of Agrawal et al.
proposed an Order Preserving symmetric Encryption (OPE)
scheme where the numerical order of plain texts are preserved
[13]. Boldyreva et al. further introduced a modular order
preserving encryption in [4]. Yi et al [5] proposed an order
preserving function to encode data in sensor networks. Popa et
al. [6] recently proposed an ideal-secure order-preserving
encryption scheme. Kerschbaum et al. [7] further proposed a
scheme which is not only idea-secure but is also an efficient
order-preserving encryption scheme. However, these schemes
are not additive order preserving. As a complementary work
to the previous order preserving work, a new additive order
and privacy preserving functions (AOPPF) are proposed. Data
owners can freely choose any function from an AOPPF family
to encode their relevance scores. The cloud server computes
the sum of encoded relevance scores and ranks them based on
the sum.
3. International Journal of Computer Applications Technology and Research
Volume 5 issue 7, 478 – 483, 2016, ISSN: - 2319-8656
www.ijcat.com 480
3. SYSTEM DESIGN
Fig. 1: Architecture of privacy preserving keyword
search in a multi-owner and multi-user cloud model
3.1 Design Goals:
3.1.1 Ranked Multi-keyword Search over
Multi owner:
The projected system should consent multi-keyword search
over encrypted files which would be encrypted with dissimilar
keys for altered data owners [10]. It also needs to allow the
cloud server to rank the search results among unlike data
owners and return the top-k results.
• Data owner scalability: The projected system
should allow new data owners to enter this system without
disturbing other data owners or data users, i.e., the scheme
should support data owner scalability in a plug-and-play
model.
• Data user revocation: The projected system should
ensure that only legitimate data users can perform correct
rifles [9]. Moreover, once a data user is revoked, he can no
longer perform accurate searches over the encrypted cloud
data.
• Security Goals: The projected system should achieve
the following security goals: 1) Keyword Semantic Security
(Definition 1). We will prove that PRMSM achieves semantic
security against the chosen keyword attack. 2) Keyword
secrecy (Definition 2). Since the adversary A can know
whether an encrypted keyword matches a trapdoor, we use the
weaker security goal (i.e., secrecy), that is, we should ensure
that the possibility for the adversary A to conclude the actual
value of a keyword is insignificantly more than arbitrarily
predicting [12]. 3) Relevance score secrecy. We should ensure
that the cloud server cannot conclude the actual value of the
encoded relevance scores.
3.2 Data User Authentication
To thwart attackers from pretending to be legal data users
accomplishing searches and hurling statistical attacks based
on the search result, data users must be authenticated before
the administration server re-encrypts trapdoors for data users.
Conventional authentication methods often follow [18] three
steps. First, data requester and data authenticator share a
secret key. Second, the requester encrypts his individually
recognizable information and sends the encrypted data to the
authenticator. Third, the authenticator decrypts the received
data with and authenticates the decrypted data. Conversely,
this method has two main drawbacks [17]. Since the secret
key shared between the requester and the authenticator
remains unaffected, it is easy to acquire repeat attack. Second,
once the secret key is discovered to attackers, the
authenticator cannot discriminate between the legal requester
and the attackers[16]; the attackers can made-up to be legal
requesters without being detected.
Fig.2: Example of data user authentication and dynamic
Secret key generation
3.3 Data User Revocation
Dissimilar from previous works, data user revocation in this
scheme does not need to re-encrypt and update large amounts
of data stored on the cloud server. The administration server
only needs to update the secret data stored on the cloud server.
Accordingly, the earlier trapdoors will be perished [14].
Furthermore, without the help of the administration server, the
repealed data user cannot produce the correct trapdoor. Hence,
a data user cannot perform correct searches once he is
revoked.
3.4 Keyword Encryption
For keyword encryption, the following conditions should be
satisfied: first, distinct data owners use their own secret keys
to encrypt keywords. Second, for the same keyword, it would
be encrypted to distinct cipher-texts each time[15]. These
belongings benefit the scheme for two reasons. First, losing
the key of one data owner would not lead to the revelation of
other owners’ data[13]. Second, the cloud server cannot see
any relationship among encrypted keywords.
3.5 Trapdoor Generation
To make the data users produce trapdoors securely,
conveniently and efficiently, our projected system should
mollify two main conditions. First, the data user does not need
to ask a large amount of data owners for secret keys to
engender trapdoors. Second, for the same keyword, the
trapdoor generated each time should be distinct [12]. To meet
this condition, the trapdoor generation is conducted in two
steps: First, the data user produces trapdoors based on his
search keyword and a random number. Second, the
administration server re-encrypts the trapdoors for the
authenticated data user [19].
3.6 Keywords Matching among Distinct
Data Owners
The cloud server stores all encrypted files and keywords of
distinct data owners. The administration server will also store
a secret data on the cloud server. Upon receiving a query
request, the cloud will examine over the data of all these data
4. International Journal of Computer Applications Technology and Research
Volume 5 issue 7, 478 – 483, 2016, ISSN: - 2319-8656
www.ijcat.com 481
owners[17]. The cloud processes the search request in two
steps. First, the cloud contests the queried keywords from all
keywords stored on it, and it gets a candidate file set. Second,
the cloud ranks files in the candidate file set and finds the
most top-k relevant files [18].
4. PROJECTED SYSTEM : PRIVACY
PRESERVING RANKED SEARCH
The aforesaid section helps the cloud match the queried
keywords, and acquire a candidate file set. Nonetheless, we
cannot simply return non-distinct files to data users for the
following two reasons. First, returning all candidate files
would cause abundant communication overhead for the whole
system. Second, data users would only apprehend the top-k
relevant files corresponding to their queries [16]. We initially
elucidate an order and privacy preserving encoding scheme.
An additive order preserving and privacy preserving encoding
scheme is demonstrated. The projected system to encode the
[20] relevance scores and obtain the top-k search results is
conferred.
4.1 Order and Privacy Preserving
Function:
To rank the consequence score while preserving its privacy,
the proposed function should satisfy the following conditions.
1) This function should preserve the order of data, as this
helps the cloud server determine which file is more relevant to
a certain keyword, according to the encoded relevance scores.
2) This function should not be revealed by the cloud server so
that cloud server can make associations on encoded relevance
scores without knowing their actual values. 3) Distinct data
owners should have distinct functions such that enlightening
the encoded value of a data owner would not lead to the
leakage of encoded values of other data owners[19].
4.2 Ranking search results
In proficient and confidentiality-Preserving Multi-Keyword
Ranked Search over Encrypted Cloud Data, the sum of the
relevance scores as the metric to rank search results is used.
The strategies of ranking search results based on the encoded
relevance scores is introduced. First, the cloud computes the
sum of encoded relevance scores between the file and
matched keywords. Then the cloud ranks the sum of encoded
relevance score with the following two conditions: (1) Two
encoded data belong to the same data owner. Given that a data
user issues a query and satisfies the[16] query. Then the cloud
adds the encoded relevance score together and gets the
relevance score.
Fig. 3: Example of ranking search results
5. EXPERIMENTAL EVALUATION
The efficiency of PRMSM is measured and compared it with
its previous version, Secure Ranked Multi-keyword Search for
Multiple data owners in cloud computing (SRMSM) [17], and
the state of- the-art, privacy-preserving Multi-keyword
Ranked Search over Encrypted cloud data (MRSE) [11], side
by side. Since MRSE is only suitable for the single owner
model, our PRMSM and SRMSM not only work well in
multi-owner settings, but also outpace MRSE on many
aspects.
The experiment programs are coded using the Python
programming language on a PC with 2.2GHZ Intel Core CPU
and 2GB memory. We implement all necessary routines for
data owners to preprocess data files: [13],[10]for the data user
to generate trapdoors, for the administrative server to re-
encrypt keywords, trapdoors, and for the cloud server to
perform ranked searches.
5.1 Index Construction
Fig. 6(a) shows that, given the same keyword dictionary
(u=4000), time of index construction for these schemes
escalate linearly with an increasing number of files, while
SRMSM and PRMSM spend much less time on index
construction. Fig. 6(b) reveals that, given the same number of
files (n=1000), SRMSM and PRMSM ingest much less time
than MRSE on constructing indexes. Furthermore, SRMSM
and PRMSM are insensitive to the size of the keyword
dictionary [9],[20]for index construction, while MRSE suffers
a quadratic growth with the size of keyword dictionary
increases. Fig. 6(c) shows the encoding efficiency of our
proposed AOPPF. The time spent on encoding increases from
0.1s to 1s when the number of keywords increases from 1000
to 10000. This time cost can be suitable.
5.2 Trapdoor Generation
Linked with index construction, trapdoor generation
consumes relatively less time. Fig. 7(a) demonstrates that,
given the same number of queried keywords (q=100),
SRMSM and PRMSM are insensitive to the size of keyword
dictionary on trapdoor generation and guzzles 0.026s and
0.031s, correspondingly. Temporarily, MRSE increases from
0.04s to 6.2s. Fig. 7(b) shows that, given the same number of
dictionary size (u=4000), [17]when the number of queried
5. International Journal of Computer Applications Technology and Research
Volume 5 issue 7, 478 – 483, 2016, ISSN: - 2319-8656
www.ijcat.com 482
keywords increases from 100 to 1000, the trapdoor generation
time for MRSE is 0.31s, and remains unchanged. While
SRMSM increases from 0.024s to 0.25s, PRMSM increases
from 0.031s to 0.31s. We notice that PRMSM spends a little
more time than SRMSM on trapdoor generation; the reason is
that PRMSM familiarizes a further variable to ensure the
randomness of trapdoors.
6. CONCLUSION
In proficient and confidentiality-Preserving Multi-Keyword
Ranked Search over Encrypted Cloud Data, the tricky of
secure multi-keyword search for multiple data owners and
multiple data users in the cloud computing environment.
Distinct from prior works, these schemes enable authenticated
data users to achieve secure, expedient, and effectual searches
over several data owners’ data. To proficiently substantiate
data users and distinguish attackers who steal the secret key
and execute illegal searches, a novel dynamic secret key
generation protocol and a innovative data user authentication
protocol is discussed. To support the cloud server to
accomplish secure search amid multiple owners’ data
encrypted with distinct secret keys, we thoroughly construct a
novel secure search protocol. To rank the search results and
preserve the privacy of relevance scores between keywords
and files, we propose a novel Additive Order and Privacy
Preserving Function family. Besides, it is shown that the slant
is computationally effective, even for large data and keyword
sets. The future work will consider the delinquent of secure
fuzzy keyword search in a multi-owner paradigm and to
implement the present scheme on the viable clouds.
7. REFERENCES
[1] M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. Katz,
A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I.
Stoica, and M. Zaharia, “A view of cloud computing,”
Communication of the ACM, vol. 53, no. 4, pp. 50–58,
2010.
[2] C. Wang, S. S. Chow, Q. Wang, K. Ren, and W. Lou,
“Privacypreserving public auditing for secure cloud
storage,” Computers, IEEE Transactions on, vol. 62,
no. 2, pp. 362–375, 2013.
[3] D.Song, D.Wagner, and A.Perrig, “Practical techniques
for searches on encrypted data,” in Proc. IEEE
International Symposium on Security and Privacy
(S&P’00), Nagoya, Japan, Jan.2000, pp. 44–55.
[4] E. Goh. (2003) Secure indexes. [Online]. Available:
http://eprint.iacr.org/
[5] R. Curtmola, J. Garay, S. Kamara, and R. Ostrovsky,
“Searchable symmetric encryption: improved
definitions and efficient constructions,” in Proc. ACM
CCS’06, VA, USA, Oct. 2006, pp. 79–88.
[6] D. B. et al., “Public key encryption with keyword search
secure against keyword guessing attacks without
random oracle,” EUROCRYPT, vol. 43, pp. 506–522,
2004.
[7] P. Golle, J. Staddon, and B. Waters, “Secure conjunctive
keyword search over encrypted data,” in Proc. Applied
Cryptography and Network Security (ACNS’04),
Yellow Mountain, China, Jun. 2004, pp. 31–45.
[8] L. Ballard, S. Kamara, and F. Monrose, “Achieving
efficient conjunctive keyword searches over encrypted
data,” in Proc. Information and Communications
Security (ICICS’05), Beijing, China, Dec. 2005, pp.
414–426.
[9] C. Wang, N. Cao, J. Li, K. Ren, and W. Lou, “Secure
ranked keyword search over encrypted cloud data,” in
Proc. IEEE Distributed Computing Systems
(ICDCS’10), Genoa, Italy, Jun. 2010, pp. 253–262.
[10] N. Cao, C. Wang, M. Li, K. Ren, and W. Lou, “Privacy
preserving multi-keyword ranked search over encrypted
cloud data,” in Proc. IEEE INFOCOM’11, Shanghai,
China, Apr. 2011, pp. 829–837.
[11] N. Cao, C. Wang, M. Li, K. Ren, and W. Lou,
“Privacypreserving multi-keyword ranked search over
encrypted cloud data,” Parallel and Distributed
Systems, IEEE Transactions on,vol. 25, no. 1, pp.
222–233, 2014.
[12] W. Sun, B. Wang, N. Cao, M. Li, W. Lou, Y. T. Hou,
and H. Li, “Verifiable privacy-preserving multi-
keyword text search in the cloud supporting similarity-
based ranking,” Parallel and Distributed Systems,
IEEE Transactions on, vol. 25, no. 11, pp. 3025–3035,
2014.
[13] Z. Xu, W. Kang, R. Li, K. Yow, and C. Xu, “Efficient
multikeyword ranked query on encrypted data in the
cloud,” in Proc. IEEE Parallel and Distributed
Systems (ICPADS’12), Singapore, Dec. 2012, pp. 244–
251.
[14] J. Li, Q. Wang, C. Wang, N. Cao, K. Ren, and W. Lou,
“Fuzzy keyword search over encrypted data in cloud
computing,” in Proc. IEEE INFOCOM’10, San Diego,
CA, Mar. 2010, pp. 1–5.
[15] M. Chuah and W. Hu, “Privacy-aware bedtree based
solution for fuzzy multi-keyword search over
encrypted data,” in Proc. IEEE 31th International
Conference on Distributed Computing Systems
(ICDCS’11), Minneapolis, MN, Jun. 2011, pp. 383–
392.
[16] P. Xu, H. Jin, Q. Wu, and W. Wang, “Public-key
encryption with fuzzy keyword search: A provably
secure scheme under keyword guessing attack,”
Computers, IEEE Transactions on, vol. 62, no. 11, pp.
2266–2277, 2013.
[17] B. Wang, S. Yu, W. Lou, and Y. T. Hou, “Privacy-
preserving multi-keyword fuzzy search over encrypted
data in the cloud,” in IEEE INFOCOM, Toronto,
Canada, May 2014, pp. 2112–2120.
[18] C. Wang, N. Cao, K. Ren, and W. Lou, “Enabling
secure and efficient ranked keyword search over
outsourced cloud data,” Parallel and Distributed
Systems, IEEE Transactions on, vol. 23, no. 8, pp.
1467–1479, 2012.
6. International Journal of Computer Applications Technology and Research
Volume 5 issue 7, 478 – 483, 2016, ISSN: - 2319-8656
www.ijcat.com 483
AUTHORS
[1] Dr V. Goutham is a Professor and Head of the
Department of Computer Science and Engineering at
TEEGALA KRISHNA REDDY ENGINEERING COLLEGE
affiliated to J.N.T.U Hyderabad. He received Ph.d from
Acharya Nagarjuna University and M.Tech from Andhra
University. He worked for various MNC Companies in
Software Testing and Quality as Senior Test Engineer. His
research interests are Software Reliability Engineering,
software testing, software Metrics, and cloud computing.
[2] Mr.B.Shyla Reddy is working as an Assistant Professor
in the Department of Computer Science and Engineering at
TEEGALA KRISHNA REDDY ENGINEERING COLLEGE
affiliated to J.N.T.U Hyderabad. He received M.Tech from
JNTU Hyderabad. His research interests are Database,
Networking and Cloud computing.
[3] Ch.Krishna Manasa Department of Computer Science and
Engineering at TEEGALA KRISHNA REDDY
ENGINEERING COLLEGE affiliated to J.N.T.U
Hyderabad.