IJET-V2I6P33
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Privacy preserving is the essential aspect for cloud. In privacy preserving ranked keyword search, data owner outsource the document in an encrypted form. So for privacy purpose, Reliable ciphertext search technique is essentially. To design ciphertext search technique which provide encrypted document is critical task. In this paper, hierarchical clustering method is designed for semantic search and fast ciphertext search within a big data environment. In hierarchical clustering, documents are based on maximum relevance score and clusters are divided into sub-clusters.
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![International Journal of Engineering and Techniques - Volume 2 Issue 6, Nov – Dec 2016
ISSN: 2395-1303 http://www.ijetjournal.org Page 213
System model-
System model consists of three entities
i.e. data user, data owner and the cloud server.
Data owner can collect documents, outsource
them into encrypted format to cloud server.
Data user cannot access document from cloud
Server without authorization from data owner.
Fig1: System Architecture
Data user should authenticate from
data owner. Then data user can send
request for encrypted document to
cloud server. If authenticated data user
is requesting for document, then cloud
server searches requested document in
dataset and sends top k-document
which matches with query. This helps
to protect the information leakage.
Conclusion-
In this paper, MRSE-HCI architecture
is proposed for semantic relationship
between different plain document
over related encrypted document. Due
to relevance score measure between
query and the document, search
technique is improved. So ciphertext
search technique can be improved.
Reference-
[1]S. Grzonkowski, P. M. Corcoran,
and T. Coughlin, “Security analysis of
authentication protocols for next-
generation mobile and CE cloud
services,” in Proc. IEEE Int. Conf.
Consumer Electron.,2011, Berlin,
Germany, 2011, pp. 83–87.
[2]D. X. D. Song, D. Wagner, and A.
Perrig, “Practical techniques for
searches on encrypted data,” in Proc.
IEEE Symp. Security
Priv,BERKELEY, CA, 2000, pp. 44–
55.
[3]D. Boneh, G. Di Crescenzo, R.
Ostrovsky, and G. Persiano, “Public
key encryption with keyword search,”
in Proc. EUROCRYPT,Interlaken,
SWITZERLAND, 2004, pp. 506–522.](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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An efficeient privacy preserving ranked keyword search
An efficeient privacy preserving ranked keyword search
for more ieee paper / full abstract / implementation , just visit www.redpel.com
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Final 1st
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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)
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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.
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
This document summarizes a research paper on secure cooperative caching in wireless peer-to-peer (P2P) networks. The paper proposes using encryption and digital signatures to authenticate data and ensure its integrity as it is cached and shared between wireless nodes. It describes greedy cache placement and mutual cache-based data access schemes to efficiently manage caching in wireless P2P networks. Experimental results show that a hybrid caching approach, which dynamically selects between caching data or caching paths to data, has better performance than solely caching data or paths. Future work areas include mechanisms for data owners to control caching scope while maintaining flexibility, and defending against security threats to data consistency.
The Royal Split Paradigm: Real-Time Data Fragmentation and Distributed Networ...
With data encryption, access control, and monitoring technology, high profile data breaches still
occur. To address this issue, this work focused on securing data at rest and data in motion by
utilizing current distributed network technology in conjunction with a data fragmenting and
defragmenting algorithm. Software prototyping was used to exhaustively test this new paradigm
within the confines of the Defense Technology Experimental Research (DETER) virtual testbed.
The virtual testbed was used to control all aspects within the testing network including: node
population, topology, file size, and number of fragments. In each topology, and for each
population size, different sized files were fragmented, distributed to nodes on the network,
recovered, and defragmented. All of these tests were recorded and documented. The results
produced by this prototype showed, with the max wait time removed, an average wait time of
.0287 s/fragment and by increasing the number of fragments, N, the complexity, X, would
increase as demonstrated in the formula: X = (.00287N!).
Improving security for data migration in cloud computing using randomized enc...
1) The document proposes an encryption technique using randomization to improve security for data migration in cloud computing. It aims to address major security issues in cloud data migration like confidentiality, integrity, reliability and data security.
2) The proposed method uses a random key to encrypt data, and then encrypts the random key with a shared key before transmission. This adds an extra layer of security by obscuring the actual encryption key.
3) It is concluded that the randomized encryption technique makes it difficult for attackers to analyze encrypted texts and determine if they correspond to the same plaintext, improving security over existing methods for cloud data migration.
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Efficient Privacy Preserving Clustering Based Multi Keyword Search
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.
Password-Authenticated Key Exchange Scheme Using Chaotic Maps towards a New A...
The document proposes a new password-authenticated key agreement protocol using chaotic maps towards a multiple servers to server architecture in the standard model. The proposed protocol aims to solve issues with single-point security, efficiency, and failure in centralized registration centers by adopting a multiple servers to server architecture. The protocol provides perfect forward secrecy and resistance to dictionary attacks while allowing weak passwords. A security proof is given for the standard model and an efficiency analysis is presented.
IJSRED-V2I2P55
This document proposes using identity-based encryption (IBE) to enable efficient multi-keyword searches over encrypted data stored in the cloud from multiple data owners. IBE simplifies key management by using human-readable identities like email addresses as public keys. The system involves data owners encrypting files and building searchable indexes before uploading to the cloud. A user generates trapdoors for search keywords and sends to an administration server, which re-encrypts the trapdoors before the cloud server conducts searches over the encrypted indexes from multiple owners. Search results are returned encrypted, which the user decrypts. IBE allows the user to search without needing separate keys for each owner's data, improving retrieval efficiency compared to symmetric searchable encryption.
Scalable and adaptive data replica placement for geo distributed cloud storages
This document discusses scalable and adaptive data replica placement schemes for geo-distributed cloud storage systems. It proposes using overlapping community discovery and adjustment to determine where to place data replicas in a distributed way. An offline scheme uses average read/write rates to find an initial replica placement solution. An online scheme then adaptively handles bursty requests without completely overriding the existing placement. Performance evaluations using real-world data show the approaches reduce inter-node traffic and system overhead compared to traditional centralized placement schemes.
A Comparison between Flooding and Bloom Filter Based Multikeyword Search in P...
A Comparison between Flooding and Bloom Filter Based Multikeyword Search in P...International Journal of Engineering Inventions www.ijeijournal.com
International Journal of Engineering Inventions (IJEI) provides a multidisciplinary passage for researchers, managers, professionals, practitioners and students around the globe to publish high quality, peer-reviewed articles on all theoretical and empirical aspects of Engineering and Science.Ieeepro techno solutions 2014 ieee java project - query services in cost ef...
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Privacy Preserving in Cloud Using Distinctive Elliptic Curve Cryptosystem (DECC)
The document proposes a Distinctive Elliptic Curve Cryptosystem (DECC) for privacy preserving in cloud computing. DECC uses smaller keys compared to existing cryptographic algorithms. It performs key generation, encryption, and decryption faster than Triple DES, RDP, and ECC based on simulations with varying file sizes from 128MB to 1GB. DECC has lower average relative error, consumes less time for overall processing, and takes less time for anonymization compared to the other algorithms based on the simulation results. The proposed DECC aims to improve privacy and efficiency for data security in cloud computing.
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...
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.
Ieeepro techno solutions 2014 ieee java project -key-aggregate cryptosystem...
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Privacy preserving secure data exchange in mobile p2 p
The paper proposes an anonymous and secure data exchange protocol for sharing medical data between organizations in a peer-to-peer cloud healthcare environment. The protocol allows cloud peers to dynamically generate temporary identities and session keys for each data exchange session. It is robust against various attacks such as man-in-the-middle, masquerade, and message manipulation attacks. The protocol aims to enable inter-organizational medical data sharing at scale while preserving privacy in an insecure network environment.
What's hot (19)
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...
IRJET - K-Gram based Composite Secret Sign Search Over Encrypted Cloud In...
IRJET - K-Gram based Composite Secret Sign Search Over Encrypted Cloud In...
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
The Royal Split Paradigm: Real-Time Data Fragmentation and Distributed Networ...
The Royal Split Paradigm: Real-Time Data Fragmentation and Distributed Networ...
Improving security for data migration in cloud computing using randomized enc...
Improving security for data migration in cloud computing using randomized enc...
PhD Projects in P2P Live Streaming Research Assistance
PhD Projects in P2P Live Streaming Research Assistance
Efficient Privacy Preserving Clustering Based Multi Keyword Search
Efficient Privacy Preserving Clustering Based Multi Keyword Search
Password-Authenticated Key Exchange Scheme Using Chaotic Maps towards a New A...
Password-Authenticated Key Exchange Scheme Using Chaotic Maps towards a New A...
Scalable and adaptive data replica placement for geo distributed cloud storages
Scalable and adaptive data replica placement for geo distributed cloud storages
A Comparison between Flooding and Bloom Filter Based Multikeyword Search in P...
A Comparison between Flooding and Bloom Filter Based Multikeyword Search in P...
Ieeepro techno solutions 2014 ieee java project - query services in cost ef...
Ieeepro techno solutions 2014 ieee java project - query services in cost ef...
Privacy Preserving in Cloud Using Distinctive Elliptic Curve Cryptosystem (DECC)
Privacy Preserving in Cloud Using Distinctive Elliptic Curve Cryptosystem (DECC)
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...
Ieeepro techno solutions 2014 ieee java project -key-aggregate cryptosystem...
Ieeepro techno solutions 2014 ieee java project -key-aggregate cryptosystem...
Privacy preserving secure data exchange in mobile p2 p
Privacy preserving secure data exchange in mobile p2 p
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An efficeient privacy preserving ranked keyword search
An efficeient privacy preserving ranked keyword search
for more ieee paper / full abstract / implementation , just visit www.redpel.com
IRJET- Proficient Recovery Over Records using Encryption in Cloud Computing
This document proposes a scheme for securely storing and retrieving encrypted documents in cloud computing based on attributes. It first designs a hierarchical attribute-based encryption scheme to encrypt document collections such that documents with shared attributes can be encrypted together efficiently. It then constructs an Attribute-based Retrieval Features (ARF) tree index structure based on document vectors incorporating term frequency-inverse document frequency and document attributes. A depth-first search algorithm is designed for efficient retrieval from the encrypted index. The scheme aims to allow fine-grained access control of documents while supporting accurate and efficient searches over the encrypted collection.
Fuzzy Keyword Search Over Encrypted Data in Cloud Computing
As Cloud Computing becomes prevalent, more and more sensitive information are being centralized into the cloud. For the protection of data privacy, sensitive data usually have to be encrypted before outsourcing, which makes effective data utilization a very challenging task. Although traditional searchable encryption schemes allow a user to securely search over encrypted data through keywords and selectively retrieve files of interest, these techniques support only exact keyword search. This significant drawback makes existing techniques unsuitable in cloud computing as it is greatly affect system usability, rendering user searching experiences very frustrating and system efficiency very low. In this paper, for the first time we formalize and solve the problem of effective fuzzy keyword search over encrypted cloud while maintaining keyword privacy. In our solution, we exploit edit distance to quantify keyword similarity and develop new advanced technique on constructing fuzzy keyword sets which greatly reduces the storage and representation overheads. In this way, we show that our proposed solution is secure and privacy preserving, while realizing the goal of fuzzy keyword search.
E FFICIENT D ATA R ETRIEVAL F ROM C LOUD S TORAGE U SING D ATA M ININ...
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)
Paper id 37201536
This document discusses web document clustering using a hybrid approach in data mining. It begins with an abstract describing the huge amount of data on the internet and need to organize web documents into clusters. It then discusses requirements for document clustering like scalability, noise tolerance, and ability to present concise cluster summaries. Different existing document clustering approaches are described, including text-based and link-based approaches. The proposed approach uses a concept-based mining model along with hierarchical agglomerative clustering and link-based algorithms to cluster web documents based on both their content and hyperlinks. This hybrid approach aims to provide more relevant clustered documents to users than previous methods.
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ACCESSING SECURED DATA IN CLOUD COMPUTING ENVIRONMENT
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 environment
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
Sub1522
This document presents a method for achieving efficient and secure semantic search over encrypted cloud data. It proposes using vector space modeling and TF-IDF weighting to support multi-keyword ranked search. It also aims to support semantic search by extending keywords with synonyms from WordNet ontology. This allows users to search by keyword meaning even if they do not know the exact keywords. The method constructs a semantic relationship library to record similarity between keywords based on co-occurrence. It evaluates using an enhanced TF-IDF algorithm to incorporate direct keyword matches, variations, and synonyms to improve search relevance.
Secure Syntactic key Ranked Search over Encrypted Cloud in Data
In Today‟s world cloud computing is one of the most effective data storage centre. The data owners usually
want to share or outsource their data. They find cloud is the alternative storage data centre to outsource their
data from local sites to cloud server. Outsourcing data will have great flexibility and economically effective.
Usually outsourcing data is sensitive data. So we need to provide some security to that data.
As data is sensitive we use access control mechanisms to stop accessing unauthorized users in clouds. The data
must be encrypted before it is going to outsource. Which obsoletes traditional data utilization based on plaintext
keyword search Thus, enabling an encrypted cloud data search service is of paramount importance. Cloud
usually maintains multiple users and also stores huge amount of data in it. In the proposed system we use a
multiple search keyword for searching most relevant data stored in clouds. In early system, the scheme is
entirely focused on single key search or a Boolean keyword search.
In implementing system we overcome the all the problems in the existing system like single key search
technique, unauthorized users access on data stored in clouds. We used Access Control method to to avoid
unauthorized access from data stored in clouds. For multi keyword search we proposed “coordinate matching”
that is “ as many matches as possible” for the given query.
A secure and dynamic multi keyword ranked
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A SECURE AND DYNAMIC MULTI-KEYWORD RANKED SEARCH SCHEME OVER ENCRYPTED CLOUD ...
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Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
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www.nexgenproject.com
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Telephone: 0413-2211159.
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A SECURE AND DYNAMIC MULTI-KEYWORD RANKED SEARCH SCHEME OVER ENCRYPTED CLOUD...
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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
IRJET- Compound Keyword Search of Encrypted Cloud Data by using Semantic Scheme
This document proposes a semantic-based compound keyword search (SCKS) scheme for encrypted cloud data. SCKS aims to address limitations of existing approaches by enabling semantic-based, multi-keyword and ranked searches without relying on a predefined global dictionary. It introduces a compound concept semantic similarity calculation method and combines it with Locality-Sensitive Hashing and a secure k-Nearest Neighbor scheme to map keyword vectors to indexes while considering frequency. Experimental results on real-world datasets show SCKS has low computation overhead and higher search accuracy than existing schemes.
Retrieving Secure Data from Cloud Using OTP
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.
Review on Key Based Encryption Scheme for Secure Data Sharing on Cloud
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.
A New Approach for Securely Sharing Data between Cloud Users with Dual Keys
In this project, we propose the Secure Data Sharing in Clouds sedasc methodology that provides data confidentiality and integrity access control data sharing forwarding without using compute intensive re encryption insider threat security and forward and backward access control. The Sedasc methodology encrypts a file with a single encryption key. Two different key shares for each of the users are generated, with the user only getting one share. The possession of a single share of a key allows the Sedasc methodology to counter the insider threats. The other key share is stored by a trusted third party, which is called the cryptographic server. We implement a working prototype of the Sedasc methodology and evaluate its performance based on the time consumed during various operations. Varsha K N | Prof Ganeshan M "A New Approach for Securely Sharing Data between Cloud Users with Dual Keys" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49459.pdf Paper URL: https://www.ijtsrd.com/computer-science/other/49459/a-new-approach-for-securely-sharing-data-between-cloud-users-with-dual-keys/varsha-k-n
A Secure and Dynamic Multi-keyword Ranked Search Scheme over Encrypted Cloud ...
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7. IEEE based on parallel and distributed systems
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2. Ns2 project
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IRJET - Privacy Preserving Keyword Search over Encrypted Data in the Cloud
The document discusses privacy preserving keyword search over encrypted data in the cloud. It proposes a personalized search (PSU) scheme that uses natural language processing on the client side to pre-compute search results for user queries before uploading encrypted data to the cloud. This allows encrypted keyword searches to be performed efficiently without retrieving all encrypted data from the cloud.
Similar to IJET-V2I6P33 (20)
2016 BE Final year Projects in chennai - 1 Crore Projects
2016 BE Final year Projects in chennai - 1 Crore Projects
An efficeient privacy preserving ranked keyword search
An efficeient privacy preserving ranked keyword search
IRJET- Proficient Recovery Over Records using Encryption in Cloud Computing
IRJET- Proficient Recovery Over Records using Encryption in Cloud Computing
Fuzzy Keyword Search Over Encrypted Data in Cloud Computing
Fuzzy Keyword Search Over Encrypted Data in Cloud Computing
E FFICIENT D ATA R ETRIEVAL F ROM C LOUD S TORAGE U SING D ATA M ININ...
E FFICIENT D ATA R ETRIEVAL F ROM C LOUD S TORAGE U SING D ATA M ININ...
Ieeepro techno solutions 2014 ieee dotnet project - query services in cost ...
Ieeepro techno solutions 2014 ieee dotnet project - query services in cost ...
ACCESSING SECURED DATA IN CLOUD COMPUTING ENVIRONMENT
ACCESSING SECURED DATA IN CLOUD COMPUTING ENVIRONMENT
Accessing secured data in cloud computing environment
Accessing secured data in cloud computing environment
Secure Syntactic key Ranked Search over Encrypted Cloud in Data
Secure Syntactic key Ranked Search over Encrypted Cloud in Data
A SECURE AND DYNAMIC MULTI-KEYWORD RANKED SEARCH SCHEME OVER ENCRYPTED CLOUD ...
A SECURE AND DYNAMIC MULTI-KEYWORD RANKED SEARCH SCHEME OVER ENCRYPTED CLOUD ...
A SECURE AND DYNAMIC MULTI-KEYWORD RANKED SEARCH SCHEME OVER ENCRYPTED CLOUD...
A SECURE AND DYNAMIC MULTI-KEYWORD RANKED SEARCH SCHEME OVER ENCRYPTED CLOUD...
IRJET- Compound Keyword Search of Encrypted Cloud Data by using Semantic Scheme
IRJET- Compound Keyword Search of Encrypted Cloud Data by using Semantic Scheme
Review on Key Based Encryption Scheme for Secure Data Sharing on Cloud
Review on Key Based Encryption Scheme for Secure Data Sharing on Cloud
A New Approach for Securely Sharing Data between Cloud Users with Dual Keys
A New Approach for Securely Sharing Data between Cloud Users with Dual Keys
A Secure and Dynamic Multi-keyword Ranked Search Scheme over Encrypted Cloud ...
A Secure and Dynamic Multi-keyword Ranked Search Scheme over Encrypted Cloud ...
IRJET - Privacy Preserving Keyword Search over Encrypted Data in the Cloud
IRJET - Privacy Preserving Keyword Search over Encrypted Data in the Cloud
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These days we have an increased number of heart diseases including increased risk of heart attacks. Our proposed system users sensors that allow to detect heart rate of a person using heartbeat sensing even if the person is at home. The sensor is then interfaced to a microcontroller that allows checking heart rate readings and transmitting them over internet. The user may set the high as well as low levels of heart beat limit. After setting these limits, the system starts monitoring and as soon as patient heart beat goes above a certain limit, the system sends an alert to the controller which then transmits this over the internet and alerts the doctors as well as concerned users. Also the system alerts for lower heartbeats. Whenever the user logs on for monitoring, the system also displays the live heart rate of the patient. Thus concerned ones may monitor heart rate as well get an alert of heart attack to the patient immediately from anywhere and the person can be saved on time.This value will continue to grow if no proper solution is found. Internet of Things (IoT) technology developments allows humans to control a variety of high-tech equipment in our daily lives. One of these is the ease of checking health using gadgets, either a phone, tablet or laptop. we mainly focused on the safety measures for both driver and vehicle by using three types of sensors: Heartbeat sensor, Traffic light sensor and Level sensor. Heartbeat sensor is used to monitor heartbeat rate of the driver constantly and prevents from the accidents by controlling through IOT.verifiable and multi-keyword searchable attribute-based encryption scheme for...
verifiable and multi-keyword searchable attribute-based encryption scheme for...IJET - International Journal of Engineering and Techniques
ABSTRACT The success of the cloud computing paradigm is due to its on-demand, self-service, and pay-by-use nature. Public key encryption with keyword search applies only to the certain circumstances that keyword cipher text can only be retrieved by a specific user and only supports single-keyword matching. In the existing searchable encryption schemes, either the communication mode is one-to-one, or only single-keyword search is supported. This paper proposes a searchable encryption that is based on attributes and supports multi-keyword search. Searchable encryption is a primitive, which not only protects data privacy of data owners but also enables data users to search over the encrypted data. Most existing searchable encryption schemes are in the single-user setting. There are only few schemes in the multiple data users setting, i.e., encrypted data sharing. Among these schemes, most of the early techniques depend on a trusted third party with interactive search protocols or need cumbersome key management. To remedy the defects, the most recent approaches borrow ideas from attribute-based encryption to enable attribute-based keyword search (ABKSIjet v5 i6p18
This document reviews the behavior of reinforced concrete deep beams. Deep beams are defined as having a shear span to depth ratio of less than 5. The response of deep beams differs from regular beams due to the influence of shear deformations and stresses. Failure modes include flexure, flexural-shear, and diagonal cracking. Previous studies investigated factors affecting shear strength such as concrete strength, reinforcement, and loading conditions. Equations have been proposed to predict shear strength based on test results.
Ijet v5 i6p17
Subcutaneous administration of toluene to rabbits for 6 weeks resulted in significant increases in liver enzyme levels and histopathological changes in the liver tissue. Liver sections from toluene-treated rabbits showed congested central veins, flattening and vacuolation of hepatocytes, and disarrangement of hepatic architecture. In contrast, liver sections from control rabbits appeared normal. Toluene exposure is known to cause oxidative stress and damage cell membranes in the liver through its metabolism.
Ijet v5 i6p16
This document summarizes a research paper that proposes a system to analyze crop phenology (growth stages) using IoT to support parallel agriculture management. The system would use sensors to collect data on soil moisture, temperature, humidity and other parameters. This data would be input to a database. Then, a multiple linear regression model trained on past data would predict the optimal crop and expected yield based on the tested sensor data and parameters. This system aims to help farmers select crops and fertilization practices tailored to their specific fields' conditions.
Ijet v5 i6p15
This document summarizes a study that determined the liberation size of gold ore from the Iperindo-Ilesha deposit in Nigeria and assessed its amenability to froth flotation. Samples of the ore were collected and subjected to sieve analysis to determine particle size fractions. Chemical analysis found that the actual and economic liberation sizes were 45μm and 250μm, respectively. Froth flotation experiments at 45μm particle size and varying collector dosages achieved a maximum gold recovery of 78.93% at 0.3 mol/dm3 collector dosage, with concentrate grade of 115 ppm Au. These parameters will be used for further processing to extract gold from this deposit.
Ijet v5 i6p14
This document presents a proposal for an IOT-based intelligent baby care system with a web application for remote baby monitoring. The system uses sensors to automatically swing a cradle when a baby cries, sound alarms if the baby cries for too long or the mattress is wet, and sends alerts to a web page for parents to monitor the baby's status from anywhere via internet connection. The proposed system aims to help working parents manage childcare remotely using sensors, a Raspberry Pi, web camera, and cloud server to detect the baby's activities and notify parents through a web application on their phone.
Ijet v5 i6p13
This document discusses various sources of water pollution and new techniques being developed for water purification. It begins by outlining how water pollution occurs from industrial wastes like mining and manufacturing, agricultural runoff containing pesticides, and domestic waste. It then examines some specific pollutants in more depth from these sources. New techniques under research for water purification are also mentioned, with the goal of developing more affordable methods. The document aims to analyze the impact of pollutants on water and introduce promising new purification techniques.
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This document summarizes a research paper on using big data methodologies with IoT and its applications. It discusses how big data analytics is being used across various fields like engineering, data management, and more. It also discusses how IoT enables the collection of massive amounts of data from sensors and devices. Machine learning techniques are used to analyze this big data from IoT and enable communication between devices. The document provides examples of domains where big data and IoT are being applied, such as healthcare, energy, transportation, and others. It analyzes the similarities and differences in how big data techniques are used across these IoT domains.
Ijet v5 i6p11
The document describes a proposed smart library automation and monitoring system using RFID technology. The system uses RFID tags attached to books and student ID cards. An RFID scanner reads the tags to automate processes like tracking student entry and exit, book check-in/check-out, and inventory management. This allows transactions to occur without manual intervention. The system also includes an Android app for students to search books and check availability. The goals are to streamline library operations, prevent unauthorized access, and help locate misplaced books. Raspberry Pi hardware and a MySQL database are part of the proposed implementation.
Ijet v5 i6p10
This document discusses congestion control techniques for vehicular ad hoc networks (VANETs). It first provides background on VANETs, noting their use of vehicle-to-vehicle communication to share information. Congestion can occur when there is a sudden increase in data from nodes in the network. The document then reviews different existing congestion control schemes, which vary in how they adjust source sending rates and handle transient congestion. It proposes a priority-based congestion control technique using dual queues, one for transit packets and one for locally generated packets. This approach aims to route packets along less congested paths when congestion is detected based on buffer occupancy.
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This document summarizes a research paper that proposes applying principles of Vedic mathematics to optimize the design of multipliers, squarers, and cubers. It begins by providing background on multipliers and their importance in electronic systems. It then reviews related work applying Vedic mathematics to multiplier design. The document outlines the methodology for performing multiplication, squaring, and cubing according to Vedic mathematics principles. It presents simulation and synthesis results comparing the proposed Vedic designs to traditional array-based designs, finding improvements in speed, power, and area. The document concludes that Vedic mathematics provides an effective approach for optimizing the design of these fundamental arithmetic components.
IJET-V3I2P24
Cloud computing is the one of the emerging techniques to process the big data. Large collection of set or large
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the experienced problems like machine failure and fault tolerance while processing the result for the scanned
data. A unique optimized time scheduling algorithm, called Advanced Dynamic Handover Reduce Function
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error percentage of the output image
IJET-V3I2P23
Text mining has turned out to be one of the in vogue handle that has been joined in a few research
fields, for example, computational etymology, Information Retrieval (IR) and data mining. Natural
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composed by people. Text mining peruses an unstructured form of data to give important
information designs in a most brief day and age. Long range interpersonal communication locales
are an awesome wellspring of correspondence as the vast majority of the general population in this
day and age utilize these destinations in their everyday lives to keep associated with each other. It
turns into a typical practice to not compose a sentence with remedy punctuation and spelling. This
training may prompt various types of ambiguities like lexical, syntactic, and semantic and because of
this kind of indistinct data; it is elusive out the genuine data arrange. As needs be, we are directing
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IJET-V3I2P22
Colorectal cancer (CRC) has potential to spread within the peritoneal cavity, and this transcoelomic
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IJET-V3I2P21
This document summarizes a research paper on the thermal performance of air conditioners using nanofluids compared to base fluids. Key points:
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IJET-V3I2P20
Now-a-day’s pedal powered grinding machine is used only for grinding purpose. Also, it requires lots of efforts
and limited for single application use. Another problem in existing model is that it consumed more time and also has
lower efficiency. Our aim is to design a human powered grinding machine which can also be used for many purposes
like pumping, grinding, washing, cutting, etc. it can carry water to a height 8 meter and produces 4 ampere of electricity
in most effective way. The system is also useful for the health conscious work out purpose. The purpose of this technical
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IJET-V3I2P19
This document summarizes a research paper that proposes using distributed control of multiple energy storage units (ESUs) to manage voltage and loading in electric distribution networks with renewable energy sources like solar and wind. The distributed control approach coordinates the ESUs to store excess power generated during peak periods and discharge it during peak load periods. Each ESU can provide both active and reactive power to support voltage and manage power flows. The distributed control strategy uses a consensus algorithm to divide the required active power reduction equally among ESUs based on their available capacity. Simulation results are presented to analyze the coordinated control of ESU active and reactive power outputs over time.
IJET-V3I2P18
The steady increase in non-linear loads on the power supply network such as, AC variable speed drives,
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reliability problems on equipment and system and also waste energy. Passive and active harmonic filters are
used to mitigate harmonic problems. The use of both active and passive filter is justified to mitigate the
harmonics. The difficulty for practicing engineers is to select and deploy correct harmonic filters , This paper
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IJET-V3I2P17
This Paper is aimed at analyzing the few important Power System equipment failures generally
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- 1. International Journal of Engineering and Techniques - Volume 2 Issue 6, Nov – Dec 2016 ISSN: 2395-1303 http://www.ijetjournal.org Page 212 Ranked Keyword Search Technique for Privacy Preserving Sandhya Pradip Mohite (Computer Department , Pune University,MIT Academy of engineering, Alandi devachi ,Pune) Literature survey- Information leakage is problem in big data environment. Encryption of data is common method to reduce information leakage searching encrypted documents on the server side is big challenging task. Many cryptographic techniques are developed in past, but these techniques are much complex and time consuming. In this paper, vector space model is used, every document is represented by vector. Relationship between different documents are classified into several categories. Due to desired document categories, document search time is reduced. Due to the small number of documents, cluster can be categorized into sub-categories. Cloud server first search document in cluster. Cloud server will select the desired k-document. The value of k is previously decided by user and send to server. If document cannot find in nearest cluster, it goes for sub-clusters. Further k-document is not satisfied then, cloud server will trace back to the parent node and select the desired document. This process repeated recursively until respected k-document get satisfied. Proposed System- In this paper, multi-keyword ranked search over encrypted data based on hierarchical clustering index i.e (MRSE- HCI).By computing the relevance score between document, every document will classified into specific clusters. Relevance score between document can be used for calculating relationship. The constraints on the cluster may broken due to newly added documents to the clusters. If any new document is added on the cluster, then new cluster center can be added. So new document choose temporal cluster center. So all documents are reassigned and cluster centers will be released. Therefore, number of clusters depend on number of documents. If cluster size exceeds the limitation, cluster will be divided into sub-clusters. Rank privacy can be improved due to hierarchical clustering. At first level of search phase, cloud server compute the relevance score between the query and cluster center and searches nearest cluster. This process iterate until smallest cluster is found. If smallest cluster is not found, which satisfies document, then cloud server goes to parent cluster. RESEARCH ARTICLE OPEN ACCESS Abstract: Privacy preserving is the essential aspect for cloud. In privacy preserving ranked keyword search, data owner outsource the document in an encrypted form. So for privacy purpose, Reliable ciphertext search technique is essentially. To design ciphertext search technique which provide encrypted document is critical task. In this paper, hierarchical clustering method is designed for semantic search and fast ciphertext search within a big data environment. In hierarchical clustering, documents are based on maximum relevance score and clusters are divided into sub-clusters. Keywords — hirarchical clustering, ciphertext search technique, relevance score, security.
- 2. International Journal of Engineering and Techniques - Volume 2 Issue 6, Nov – Dec 2016 ISSN: 2395-1303 http://www.ijetjournal.org Page 213 System model- System model consists of three entities i.e. data user, data owner and the cloud server. Data owner can collect documents, outsource them into encrypted format to cloud server. Data user cannot access document from cloud Server without authorization from data owner. Fig1: System Architecture Data user should authenticate from data owner. Then data user can send request for encrypted document to cloud server. If authenticated data user is requesting for document, then cloud server searches requested document in dataset and sends top k-document which matches with query. This helps to protect the information leakage. Conclusion- In this paper, MRSE-HCI architecture is proposed for semantic relationship between different plain document over related encrypted document. Due to relevance score measure between query and the document, search technique is improved. So ciphertext search technique can be improved. Reference- [1]S. Grzonkowski, P. M. Corcoran, and T. Coughlin, “Security analysis of authentication protocols for next- generation mobile and CE cloud services,” in Proc. IEEE Int. Conf. Consumer Electron.,2011, Berlin, Germany, 2011, pp. 83–87. [2]D. X. D. Song, D. Wagner, and A. Perrig, “Practical techniques for searches on encrypted data,” in Proc. IEEE Symp. Security Priv,BERKELEY, CA, 2000, pp. 44– 55. [3]D. Boneh, G. Di Crescenzo, R. Ostrovsky, and G. Persiano, “Public key encryption with keyword search,” in Proc. EUROCRYPT,Interlaken, SWITZERLAND, 2004, pp. 506–522.
- 3. International Journal of Engineering and Techniques - Volume 2 Issue 6, Nov – Dec 2016 ISSN: 2395-1303 http://www.ijetjournal.org Page 214 [4]Y. C. Chang and M. Mitzenmacher, “Privacy preserving keyword searches on remote encrypted data,” in Proc. 3rd Int.Conf. Applied Cryptography Netw. Security, New York, NY, 2005,pp. 442–455. [5]R. Curtmola, J. Garay, S. Kamara, and R. Ostrovsky, “Searchable Symmetric encryption:Improved definitions and efficient constructions,” in Proc. 13th ACM Conf. Comput. Commun. Security, Alexandria, Virginia, 2006, pp. 79–88. [6]M. Bellare, A. Boldyreva, and A. O’Neill, “Deterministic and efficiently searchable encryption,” in Proc. 27th Annu. Int. Cryptol.Conf. Adv. Cryptol., Santa Barbara, CA, 2007, pp. 535–552. [7]D. Boneh and B. Waters, “Conjunctive, subset, and range queries on encrypted data,” in Proc. 4th Conf. Theory Cryptography,Amsterdam, NETHERLANDS, 2007, pp. 535–554.