Secure Phrase Search for Intelligent Processing of Encrypted Data in Cloud-Based IoT
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Secure Phrase Search for Intelligent Processing ofEncrypted Data in Cloud-Bas...JAYAPRAKASH JPINFOTECH
Secure Phrase Search for Intelligent Processing of Encrypted Data in Cloud-Based IoT
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
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
This document proposes two schemes for performing SQL operations like greater than, less than, and substring matching on encrypted database data without decrypting the entire database. The schemes aim to enable querying encrypted data while preserving privacy, which has become an important area of research as more data is collected and stored. The schemes would allow operations beyond just exact matching on encrypted data.
Accurate and Efficient Secured Dynamic Multi-keyword Ranked SearchDakshineshwar Swain
The document presents a project on developing an "accurate and efficient dynamic multi-keyword ranked search scheme". It aims to address issues with searching encrypted data outsourced to the cloud. The proposed system uses a tree-based index structure and "Greedy Depth-first Search" algorithm to improve search efficiency. It also utilizes TF-IDF scores to rank documents by relevance to search terms. The project aims to provide a searchable encryption scheme that supports accurate, efficient multi-keyword searches and dynamic operations on document collections.
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
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.
Secure Phrase Search for Intelligent Processing ofEncrypted Data in Cloud-Bas...JAYAPRAKASH JPINFOTECH
Secure Phrase Search for Intelligent Processing of Encrypted Data in Cloud-Based IoT
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
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
This document proposes two schemes for performing SQL operations like greater than, less than, and substring matching on encrypted database data without decrypting the entire database. The schemes aim to enable querying encrypted data while preserving privacy, which has become an important area of research as more data is collected and stored. The schemes would allow operations beyond just exact matching on encrypted data.
Accurate and Efficient Secured Dynamic Multi-keyword Ranked SearchDakshineshwar Swain
The document presents a project on developing an "accurate and efficient dynamic multi-keyword ranked search scheme". It aims to address issues with searching encrypted data outsourced to the cloud. The proposed system uses a tree-based index structure and "Greedy Depth-first Search" algorithm to improve search efficiency. It also utilizes TF-IDF scores to rank documents by relevance to search terms. The project aims to provide a searchable encryption scheme that supports accurate, efficient multi-keyword searches and dynamic operations on document collections.
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
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 ...Pvrtechnologies Nellore
This document proposes a secure multi-keyword ranked search scheme over encrypted cloud data that allows for dynamic operations like deletion and insertion of documents. It constructs a special tree-based index structure and uses a "Greedy Depth-first Search" algorithm to provide efficient search. The scheme utilizes a secure kNN algorithm to encrypt index and query vectors while still allowing accurate relevance scoring between encrypted vectors. It aims to achieve sub-linear search time and flexible handling of document updates.
Location Based Encryption-Decryption Approach for Data SecurityEditor IJCATR
Data security is an important task in today‟s life. Data security can be done using GPS device. Among computer user mostly
use data in electronic format. How to provide a security for data is important. In this paper, we propose a Location Based Data-
Security System to secure data by applying Encryption-Algorithm and co-ordinate using GPS device. Encryption means of efficient
secure integer comparison. The encryption technology cannot restrict the location of data decryption. In order to meet the demand of a
location-dependent approach location-dependent data encryption algorithm is needed. A target latitude/longitude co-ordinate is
determined firstly. The co-ordinate is incorporated with a random key for data encryption. The receiver can only decrypt the cipher
text when the co-ordinate acquired from GPS receiver is matched with the target co-ordinate. GPS-based encryption is an innovative
technique that uses GPS-technology to encode location information into the encryption keys to provide location based security. GPSbased
encryption adds another layer of security on top of existing encryption methods by restricting the decryption of a message to a
particular location. Our experimental results not only validate the effectiveness of our scheme, but also demonstrate that the proposed
integer comparison scheme performs better than previous bitwise comparison scheme.
The document proposes a privacy-preserving mobile healthcare system using a private cloud. It aims to address privacy issues with electronic healthcare by building privacy into the system. The key features include efficient key management, privacy-preserving data storage and retrieval (especially for emergencies), and auditability to prevent misuse of health data. The system utilizes techniques like searchable symmetric encryption, identity-based encryption and attribute-based encryption for security. It follows a cloud-assisted service model with the private cloud storing and processing data to support lightweight tasks on mobile devices.
IRJET- Review on Privacy Preserving on Multi Keyword Search over Encrypte...IRJET Journal
The document summarizes a proposed system for multi-keyword search over encrypted data in cloud computing. It aims to retrieve the top k most relevant documents matching a user's query while preserving data privacy. The system uses Lucene indexing to build an index of keywords extracted from outsourced documents. When documents are added or removed, the index is updated. A top-k query technique ranks document relevance and returns the top matching results. Encryption is done using the Blowfish algorithm before documents are outsourced to the untrusted cloud server. This allows efficient search over the encrypted data based on keyword queries.
IRJET- Efficient Traceable Authorization Search System for Secure Cloud StorageIRJET Journal
This document proposes an efficient traceable authorization search system for secure cloud storage called EF-TAMKS-VOD. The system allows for flexible multiple keyword subset search over encrypted files stored on a cloud server. It solves key escrow problems by having a key generation center generate public/secret key pairs without escrowing the secret keys. The system also enables traceability of malicious users who leak their secret keys by identifying the original key owner. It further improves efficiency by allowing decryption computations to be outsourced to the cloud server and verified by users. Analysis shows the system improves efficiency and reduces computation overhead for users compared to previous solutions.
IRJET- Data Security in Cloud Computing using Cryptographic AlgorithmsIRJET Journal
This document discusses data security in cloud computing using cryptographic algorithms. It begins by introducing cloud computing and cryptography. Cryptography is used to securely store and transmit data in the cloud since the data is no longer under the user's direct control. The document then discusses how AES (Advanced Encryption Standard) can be used to encrypt data for secure storage and transmission in cloud computing. It provides an overview of the AES algorithm, including the encryption process which involves sub-processes like byte substitution, shift rows, mix columns and adding round keys over multiple rounds. The document also provides pseudocode for the AES encryption process and discusses how AES encryption provides stronger security than other algorithms like DES.
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.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
An Insider/Internal Threat Score Data Loss Prevention and DetectionKyrre Wahl Kongsgård
This document discusses developing an internal/insider threat score (ITS) for data loss prevention and detection. The ITS would aggregate outputs from machine learning algorithms to identify persistent insider activity and reduce false alarms over time. It proposes a graphical model to recover the expected value of the ITS based on document classifications. Experiments use a dataset of scanned documents to visualize patterns of malicious, regular and incompetent insider behavior based on misclassification rates, activity bursts and irregular timing. The goal is for the ITS to help identify and mitigate insider threats.
SECURE SENSITIVE DATA SHARING ON BIG DATA PLATFORMAM Publications
Big data concern extremely large volume and complex data both structured and unstructured to reveal patterns and trends .The organisation procure large data storage, data delivery on semi-trusted big data sharing platform. An enterprise can obtain huge amount of sensitive data by storing, analysing, processing these data. In digital world, keeping sensitive data secure from theft and vulnerability is very difficult .This abstract proposes a framework for secure sensitive data sharing on a big data platform using effective encryption algorithm. We present an identity based conditional proxy encryption based on heterogeneous cipher text transformation .It protects security of user’s sensitive data on big data platform.
Data Leakage Detection and Security Using Cloud ComputingIJERA Editor
The data owner will store the data in the cloud. Every user must registered in the cloud. Cloud provider must
verify the authorized user. If someone try to access the account, data will get leaked. This leaked data will
present in an unauthorized place (e.g., on the internet or someone’s laptop). In this paper, we propose Division
and Replication of Data in the Cloud for Optimal Performance and Security (DROPS) that collectively
approaches the security and performance issues. In DROPS methodology, we have to select the file and then
store the particular file in the cloud account. In order to provide security we are going to implement DROPS
concepts. Now we divide the file into various fragments based on the threshold value. Each and every fragments
are stored in the node using T-Coloring. After the placement of fragments in node, it is necessary to replicate
each fragments for one time in cloud.
The document defines different types of attacks on cryptography systems including passive and active attacks. Passive attacks attempt to learn information without affecting system resources, while active attacks try to alter system operations. The document also discusses cryptography, defining it as the practice of hiding information and converting plain text into unintelligible cipher text. Symmetric key cryptography uses a shared key for encryption and decryption, while asymmetric key cryptography uses public and private key pairs.
SPCHS Construction for Expeditious Keyword Search in Cipher TextIJMTST Journal
The subsisting public-key encryption schemes which are semantically secure, take linear search time with
the total number of cipher texts, thus making data retrieval from databases arduous or time consuming. So,
in order to rectify the current quandary, the paper proposes SPCHS Methodology for Expeditious Keyword
Search. In Searchable Public Key Cipher texts with Obnubilated Structures (SPCHS), the concept of
obnubilated structures is introduced. Here, the concept of filtering is utilized efficiently. This in turn, makes
data retrieval from sizably voluminous scale databases far more facile by reducing the time intricacy as well
as ensuring efficient performance. The time involution of our scheme depends only on the genuine number of
engendered cipher texts rather than all the number of cipher texts. Given a keyword for a file search,
predicated on the filtering mechanism we designate the file extension or type which has to be returned thus
ruling out all the other possibilities which not only makes probing more facile but withal preserves time
involution. This article gives an overview about SPCHS Mechanism and the sundry methods adopted.
This document proposes a key-aggregate encryption scheme called Input Cumulative Cryptosystem for secure and scalable data sharing in cloud computing. The scheme allows a data owner to generate a constant-size aggregate decryption key that can decrypt multiple ciphertexts. The key has the combined decryption power of all individual secret keys. An intrusion detection system also monitors communication between hosts to only allow data sharing between trusted hosts, improving security. The proposed system aims to address issues with existing approaches that require distributing multiple decryption keys or have fixed hierarchies for access control. It allows flexible delegation of decryption rights for dynamic sets of ciphertexts in cloud storage.
Towards Secure Data Distribution Systems in Mobile Cloud Computing: A SurveyIRJET Journal
This document summarizes 6 research papers related to security in mobile cloud computing. It discusses issues like data integrity, authentication, and access control when mobile devices' data and computations are integrated with cloud computing. Several cryptographic techniques are described that can help ensure privacy and security, such as proxy provable data possession, attribute-based encryption, and proxy re-encryption. The document concludes that while mobile cloud computing provides benefits, security of user data shared in the cloud is the main challenge, and various frameworks have been proposed but no single system addresses all security aspects.
Data get to control is a powerful method to guarantee the data security in the cloud. Because of information
out sourcing and un confided in cloud servers, the information get to control turns into a testing issue in cloud
storage systems. Cipher text-Policy Attribute Based Encryption (CP-ABE) is viewed as a standout amongst
the most reasonable advancements for information get to control in distributed storage, since it gives
straightforward control access to the owners. It is hard to implement the existing CP-ABE schemes to access
the information from cloud storage systems. we propose a plan to structure the information securing control in
a revocable multi-expert CP-ABE conspire from cloud storage system
This document proposes an efficient keyword searching technique (EKST) for encrypted data stored in cloud computing environments. EKST allows for fuzzy keyword searches that tolerate minor typos or inconsistencies. It does this by constructing fuzzy keyword sets for predefined keywords that include variations within a certain edit distance. EKST then designs an efficient search approach based on these fuzzy keyword sets to securely retrieve matching encrypted files from the cloud server while revealing minimal information. The document outlines the problem formulation, related work, and proposes techniques like wildcard-based construction of fuzzy keyword sets to improve storage efficiency and search performance for fuzzy keyword search over encrypted cloud data.
IRJET - Privacy Preserving Keyword Search over Encrypted Data in the CloudIRJET Journal
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.
Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data JAYAPRAKASH JPINFOTECH
Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...Pvrtechnologies Nellore
This document proposes a secure multi-keyword ranked search scheme over encrypted cloud data that allows for dynamic operations like deletion and insertion of documents. It constructs a special tree-based index structure and uses a "Greedy Depth-first Search" algorithm to provide efficient search. The scheme utilizes a secure kNN algorithm to encrypt index and query vectors while still allowing accurate relevance scoring between encrypted vectors. It aims to achieve sub-linear search time and flexible handling of document updates.
Location Based Encryption-Decryption Approach for Data SecurityEditor IJCATR
Data security is an important task in today‟s life. Data security can be done using GPS device. Among computer user mostly
use data in electronic format. How to provide a security for data is important. In this paper, we propose a Location Based Data-
Security System to secure data by applying Encryption-Algorithm and co-ordinate using GPS device. Encryption means of efficient
secure integer comparison. The encryption technology cannot restrict the location of data decryption. In order to meet the demand of a
location-dependent approach location-dependent data encryption algorithm is needed. A target latitude/longitude co-ordinate is
determined firstly. The co-ordinate is incorporated with a random key for data encryption. The receiver can only decrypt the cipher
text when the co-ordinate acquired from GPS receiver is matched with the target co-ordinate. GPS-based encryption is an innovative
technique that uses GPS-technology to encode location information into the encryption keys to provide location based security. GPSbased
encryption adds another layer of security on top of existing encryption methods by restricting the decryption of a message to a
particular location. Our experimental results not only validate the effectiveness of our scheme, but also demonstrate that the proposed
integer comparison scheme performs better than previous bitwise comparison scheme.
The document proposes a privacy-preserving mobile healthcare system using a private cloud. It aims to address privacy issues with electronic healthcare by building privacy into the system. The key features include efficient key management, privacy-preserving data storage and retrieval (especially for emergencies), and auditability to prevent misuse of health data. The system utilizes techniques like searchable symmetric encryption, identity-based encryption and attribute-based encryption for security. It follows a cloud-assisted service model with the private cloud storing and processing data to support lightweight tasks on mobile devices.
IRJET- Review on Privacy Preserving on Multi Keyword Search over Encrypte...IRJET Journal
The document summarizes a proposed system for multi-keyword search over encrypted data in cloud computing. It aims to retrieve the top k most relevant documents matching a user's query while preserving data privacy. The system uses Lucene indexing to build an index of keywords extracted from outsourced documents. When documents are added or removed, the index is updated. A top-k query technique ranks document relevance and returns the top matching results. Encryption is done using the Blowfish algorithm before documents are outsourced to the untrusted cloud server. This allows efficient search over the encrypted data based on keyword queries.
IRJET- Efficient Traceable Authorization Search System for Secure Cloud StorageIRJET Journal
This document proposes an efficient traceable authorization search system for secure cloud storage called EF-TAMKS-VOD. The system allows for flexible multiple keyword subset search over encrypted files stored on a cloud server. It solves key escrow problems by having a key generation center generate public/secret key pairs without escrowing the secret keys. The system also enables traceability of malicious users who leak their secret keys by identifying the original key owner. It further improves efficiency by allowing decryption computations to be outsourced to the cloud server and verified by users. Analysis shows the system improves efficiency and reduces computation overhead for users compared to previous solutions.
IRJET- Data Security in Cloud Computing using Cryptographic AlgorithmsIRJET Journal
This document discusses data security in cloud computing using cryptographic algorithms. It begins by introducing cloud computing and cryptography. Cryptography is used to securely store and transmit data in the cloud since the data is no longer under the user's direct control. The document then discusses how AES (Advanced Encryption Standard) can be used to encrypt data for secure storage and transmission in cloud computing. It provides an overview of the AES algorithm, including the encryption process which involves sub-processes like byte substitution, shift rows, mix columns and adding round keys over multiple rounds. The document also provides pseudocode for the AES encryption process and discusses how AES encryption provides stronger security than other algorithms like DES.
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.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
An Insider/Internal Threat Score Data Loss Prevention and DetectionKyrre Wahl Kongsgård
This document discusses developing an internal/insider threat score (ITS) for data loss prevention and detection. The ITS would aggregate outputs from machine learning algorithms to identify persistent insider activity and reduce false alarms over time. It proposes a graphical model to recover the expected value of the ITS based on document classifications. Experiments use a dataset of scanned documents to visualize patterns of malicious, regular and incompetent insider behavior based on misclassification rates, activity bursts and irregular timing. The goal is for the ITS to help identify and mitigate insider threats.
SECURE SENSITIVE DATA SHARING ON BIG DATA PLATFORMAM Publications
Big data concern extremely large volume and complex data both structured and unstructured to reveal patterns and trends .The organisation procure large data storage, data delivery on semi-trusted big data sharing platform. An enterprise can obtain huge amount of sensitive data by storing, analysing, processing these data. In digital world, keeping sensitive data secure from theft and vulnerability is very difficult .This abstract proposes a framework for secure sensitive data sharing on a big data platform using effective encryption algorithm. We present an identity based conditional proxy encryption based on heterogeneous cipher text transformation .It protects security of user’s sensitive data on big data platform.
Data Leakage Detection and Security Using Cloud ComputingIJERA Editor
The data owner will store the data in the cloud. Every user must registered in the cloud. Cloud provider must
verify the authorized user. If someone try to access the account, data will get leaked. This leaked data will
present in an unauthorized place (e.g., on the internet or someone’s laptop). In this paper, we propose Division
and Replication of Data in the Cloud for Optimal Performance and Security (DROPS) that collectively
approaches the security and performance issues. In DROPS methodology, we have to select the file and then
store the particular file in the cloud account. In order to provide security we are going to implement DROPS
concepts. Now we divide the file into various fragments based on the threshold value. Each and every fragments
are stored in the node using T-Coloring. After the placement of fragments in node, it is necessary to replicate
each fragments for one time in cloud.
The document defines different types of attacks on cryptography systems including passive and active attacks. Passive attacks attempt to learn information without affecting system resources, while active attacks try to alter system operations. The document also discusses cryptography, defining it as the practice of hiding information and converting plain text into unintelligible cipher text. Symmetric key cryptography uses a shared key for encryption and decryption, while asymmetric key cryptography uses public and private key pairs.
SPCHS Construction for Expeditious Keyword Search in Cipher TextIJMTST Journal
The subsisting public-key encryption schemes which are semantically secure, take linear search time with
the total number of cipher texts, thus making data retrieval from databases arduous or time consuming. So,
in order to rectify the current quandary, the paper proposes SPCHS Methodology for Expeditious Keyword
Search. In Searchable Public Key Cipher texts with Obnubilated Structures (SPCHS), the concept of
obnubilated structures is introduced. Here, the concept of filtering is utilized efficiently. This in turn, makes
data retrieval from sizably voluminous scale databases far more facile by reducing the time intricacy as well
as ensuring efficient performance. The time involution of our scheme depends only on the genuine number of
engendered cipher texts rather than all the number of cipher texts. Given a keyword for a file search,
predicated on the filtering mechanism we designate the file extension or type which has to be returned thus
ruling out all the other possibilities which not only makes probing more facile but withal preserves time
involution. This article gives an overview about SPCHS Mechanism and the sundry methods adopted.
This document proposes a key-aggregate encryption scheme called Input Cumulative Cryptosystem for secure and scalable data sharing in cloud computing. The scheme allows a data owner to generate a constant-size aggregate decryption key that can decrypt multiple ciphertexts. The key has the combined decryption power of all individual secret keys. An intrusion detection system also monitors communication between hosts to only allow data sharing between trusted hosts, improving security. The proposed system aims to address issues with existing approaches that require distributing multiple decryption keys or have fixed hierarchies for access control. It allows flexible delegation of decryption rights for dynamic sets of ciphertexts in cloud storage.
Towards Secure Data Distribution Systems in Mobile Cloud Computing: A SurveyIRJET Journal
This document summarizes 6 research papers related to security in mobile cloud computing. It discusses issues like data integrity, authentication, and access control when mobile devices' data and computations are integrated with cloud computing. Several cryptographic techniques are described that can help ensure privacy and security, such as proxy provable data possession, attribute-based encryption, and proxy re-encryption. The document concludes that while mobile cloud computing provides benefits, security of user data shared in the cloud is the main challenge, and various frameworks have been proposed but no single system addresses all security aspects.
Data get to control is a powerful method to guarantee the data security in the cloud. Because of information
out sourcing and un confided in cloud servers, the information get to control turns into a testing issue in cloud
storage systems. Cipher text-Policy Attribute Based Encryption (CP-ABE) is viewed as a standout amongst
the most reasonable advancements for information get to control in distributed storage, since it gives
straightforward control access to the owners. It is hard to implement the existing CP-ABE schemes to access
the information from cloud storage systems. we propose a plan to structure the information securing control in
a revocable multi-expert CP-ABE conspire from cloud storage system
This document proposes an efficient keyword searching technique (EKST) for encrypted data stored in cloud computing environments. EKST allows for fuzzy keyword searches that tolerate minor typos or inconsistencies. It does this by constructing fuzzy keyword sets for predefined keywords that include variations within a certain edit distance. EKST then designs an efficient search approach based on these fuzzy keyword sets to securely retrieve matching encrypted files from the cloud server while revealing minimal information. The document outlines the problem formulation, related work, and proposes techniques like wildcard-based construction of fuzzy keyword sets to improve storage efficiency and search performance for fuzzy keyword search over encrypted cloud data.
IRJET - Privacy Preserving Keyword Search over Encrypted Data in the CloudIRJET Journal
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.
Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data JAYAPRAKASH JPINFOTECH
Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Fuzzy Keyword Search Over Encrypted Data in Cloud ComputingIJERA Editor
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.
Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted DataJAYAPRAKASH JPINFOTECH
Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Efficient Similarity Search Over Encrypted DataIRJET Journal
1) The document discusses efficient similarity search over encrypted data stored in the cloud. It proposes using Locality Sensitive Hashing (LSH) to enable fast similarity searches of encrypted data without decrypting it first.
2) When a user uploads data, features are extracted and hashed using LSH to group similar documents into buckets. When performing a search, the user's query is hashed to identify matching buckets. Matches are identified by finding correlations between stored documents and the query.
3) The method allows similarity searches of encrypted cloud data efficiently by indexing and hashing documents during upload and generating query hashes to match documents during search, without decrypting the actual data. This addresses privacy and security issues of sensitive data stored
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
Secure Multi-Keyword Top-K Retrieval Over Encrypted Cloud Data Using Homomorp...iosrjce
Using Cloud Storage, users can remotely store their data and enjoy on-demand high quality
applications and services. To ensure safety of stored data, it becomes must to encrypt data before storing in the
global space. In cloud data, search arises only with plain data. But it is essential to invoke search with
encrypted data. The specialty of cloud data storage is that it allows copious keywords in a solitary query and
sorts the resultant data documents in relevance order. The proposed multi keyword search based on ranking
over an encrypted cloud data uses feature of similarity and inner product similarity matching. The vector space
model helps to provide sufficient search accuracy and homomorphic encryption enables users to involve in
ranking while majority of computing work is done on server side by operations only on cipher text. Thus in this
method for Top-K retrieval user gets an interested/used link in top. To selectively share documents fine-grained
attribute-based access control policies can be used.
This document summarizes a research paper that proposes a method for secure multi-keyword top-K retrieval over encrypted cloud data using homomorphic encryption. The method allows users to search for documents containing multiple keywords in encrypted cloud data and returns the top K most relevant documents based on keyword similarity, while preserving data privacy. Existing searchable encryption techniques only support exact single keyword search or reveal sensitive information through server-side ranking. The proposed method uses vector space modeling and homomorphic encryption to enable accurate multi-keyword search and ranking over encrypted data without privacy leaks.
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.
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.
IRJET- Compound Keyword Search of Encrypted Cloud Data by using Semantic SchemeIRJET Journal
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.
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.
Today, the growth of digitalization has made the ease for livelihood for all the organizations. Cloud computing the storage provider for all the computer resources has made it easy for accessing the data from anywhere anytime. But at the same time the security for cloud data storage is the major drawback which is provided by various cryptographic algorithms. These algorithms convert the data into unreadable format, known as cipher text, Rivest, Shamir and Adleman (RSA) one of the most popularly used asymmetric algorithm. This paper gives detailed review about such different cryptographic algorithms used for the cloud data security. The comparison study is also made for the size of data and to analyze the encryption time and decryption time, which concludes that to enhance the cloud data security some addon techniques are to be used along with these cryptographic algorithms. To increase the security level and to increase the transmission speed of plaintext, integrated method will be proposed by encoding the plaintext to intermediate plaintext and then intermediate plaintext will be compressed using any one of the compression techniques to increase the compression ratio, lastly the compressed file is encrypted to further enhance the security level.
Efficient Similarity Search over Encrypted DataIRJET Journal
This document summarizes a research paper that proposes an efficient method for similarity search over encrypted data stored in the cloud. The method uses Locality Sensitive Hashing (LSH) to index the encrypted data and generate "trapdoors" or encodings of search queries. When a user submits a query, the trapdoor is generated and similarity search is performed by finding the similarity between the query trapdoor and the encrypted data indexes stored in the cloud, without decrypting the actual data. The paper outlines the data uploading and query processing steps, which include preprocessing, encryption, trapdoor generation using LSH-based bucketing of n-grams from the query terms, and using Bloom filters for efficient similarity matching during search.
This document discusses enabling secure and efficient ranked keyword search over outsourced cloud data. It describes how traditional searchable encryption techniques only allow for boolean search and are insufficient for large amounts of cloud data. The paper proposes exploring relevance scores from information retrieval to build a secure searchable index and a one-to-many mapping technique to protect sensitive score information. This would allow for efficient server-side ranking without compromising keyword privacy.
A Survey on Secure and Dynamic Multi-Keyword Ranked Search Scheme over Encryp...IRJET Journal
This document summarizes a research paper that proposes a secure and dynamic multi-keyword ranked search scheme over encrypted cloud data. It presents an index structure using a greedy depth-first search and a KNN algorithm to encrypt the index and queries. This allows calculating relevance scores between encrypted indexes and queries without decrypting data. The scheme supports accurate multi-keyword searches and flexible dynamic operations like updates and deletions on the document collection. Vector space models and TF-IDF are used to represent documents. Related works on searchable encryption, homomorphic encryption, and fuzzy keyword search techniques are also summarized.
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Secure Phrase Search for Intelligent Processing of Encrypted Data in Cloud-Based IoT
1. Secure Phrase Search for Intelligent Processing of
Encrypted Data in Cloud-Based IoT
ABSTRACT:
Phrase search allows retrieval of documents containing an exact phrase, which
plays an important role in many machine learning applications for cloud-based
IoT, such as intelligent medical data analytics. In order to protect sensitive
information from being leaked by service providers, documents (e.g., clinic
records) are usually encrypted by data owners before being outsourced to the
cloud. This, however, makes the search operation an extremely challenging task.
Existing searchable encryption schemes for multi-keyword search operations fail to
perform phrase search, as they are unable to determine the location relationship of
multiple keywords in a queried phrase over encrypted data on the cloud server
side.
In this paper, we propose P3, an efficient privacy-preserving phrase search scheme
for intelligent encrypted data processing in cloud-based IoT. Our scheme exploits
the homomorphic encryption and bilinear map to determine the location
relationship of multiple queried keywords over encrypted data. It also utilizes a
probabilistic trapdoor generation algorithm to protect users’ search patterns.
Thorough security analysis demonstrates the security guarantees achieved by P3.
We implement a prototype and conduct extensive experiments on real-world
datasets. The evaluation results show that compared with existing multikeyword
search schemes, P3 can greatly improve the search accuracy with moderate
overheads.
2. SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
System : Pentium Dual Core.
Hard Disk : 120 GB.
Monitor : 15’’ LED
Input Devices : Keyboard, Mouse
Ram : 1 GB
SOFTWARE REQUIREMENTS:
Operating system : Windows 7.
Coding Language : JAVA.
Tool : Netbeans 7.2.1
Database : MYSQL
REFERENCE:
Meng Shen, Member, IEEE, Baoli Ma, Liehuang Zhu, Member, IEEE, Xiaojiang
Du, Senior Member, IEEE, and Ke Xu, Senior Member, IEEE, “Secure Phrase
Search for Intelligent Processing of Encrypted Data in Cloud-Based IoT”, IEEE
Internet of Things Journal , Volume: 6 , Issue: 2 , April 2019.