Searchable Symmetric Encryption with Forward Search Privacy
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DUAL-SERVER PUBLIC-KEY ENCRYPTION WITH KEYWORD SEARCH FOR SECURE CLOUD STORAGE
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NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
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The document proposes a system for multi-keyword ranked search over encrypted cloud data while preserving privacy. It addresses limitations in previous systems that allowed single keyword search or did not consider privacy. The proposed system uses asymmetric key encryption, a block-max index, and dynamic key generation to allow efficient retrieval of relevant encrypted data from the cloud without security breaches. It involves three parts: (1) a server that encrypts and stores data in the cloud and sends decryption keys; (2) a cloud server that handles search requests, ranks results, and responds; and (3) users that request data from the cloud server.
Privacy preserving multi-keyword ranked search over encrypted cloud data
This is shakas technologies,
It will provide projects contact as shakas technologies,
Mobile: 9500218218 phone: 0416-6066663
privacy preserving multi keyword ranked search over encrypted cloud data
LOGIC SYSTEMS
1st Floor, Reddy Comlex, Opp. SPencers, Near Satyam Theatre, Ameerpet, Hyderabad
9533694296,9703109334
logicsystemsprojects@gmail.com
www.logicsystems.org.in
Recommended
Towards secure multi keyword top-k retrieval over encrypted cloud data
The document proposes a two-round searchable encryption scheme to enable secure multi-keyword top-k retrieval over encrypted cloud data. Existing searchable encryption schemes only support boolean keyword search and do not consider relevance. The proposed Two-Round Searchable Encryption scheme uses homomorphic encryption and a vector space model to enable users to participate in ranking while most computation is done on the server side ciphertext only. This guarantees security without sacrificing efficiency.
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Dual server public-key encryption with keyword search for secure cloud storage
Shakas Technologies Provides, 2016-2017 Project titles, Real time project titles, IEEE Project Titles 2016-2017, NON-IEEE Project Titles, Latest project titles 2016, MCA Project titles, Final Year Project titles 2016-2017..
Contact As:
Shakas Technologies
#13/19, 1st Floor, Municipal Colony,
Kangeyanellore Road, Gandhi Nagar,
Vellore-632006,
Cell: 9500218218
Mobile: 0416-2247353 / 6066663
DUAL-SERVER PUBLIC-KEY ENCRYPTION WITH KEYWORD SEARCH FOR SECURE CLOUD STORAGE
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
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This is shakas technologies,
It will provide projects contact as shakas technologies,
Mobile: 9500218218 phone: 0416-6066663
privacy preserving multi keyword ranked search over encrypted cloud data
LOGIC SYSTEMS
1st Floor, Reddy Comlex, Opp. SPencers, Near Satyam Theatre, Ameerpet, Hyderabad
9533694296,9703109334
logicsystemsprojects@gmail.com
www.logicsystems.org.in
Privacy preserving multi-keyword ranked search over encrypted cloud data
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Landline: 0422 - 4204373
Mobile: +91 90 953 953 33
Email :lansa.projects@gmail.com
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Blog: www.lansastudentscdc.blogspot.com
Key aggregate searchable encryption (kase) for group data sharing via cloud s...
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suitable for B.E (CSE,IT,ECE,EEE), B.Tech (CSE,IT,ECE,EEE),M.Tech (CSE,IT,ECE,EEE) B.sc (IT & CSE), M.sc (IT & CSE),
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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.
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Key aggregate searchable encryption (kase) for group data sharing via cloud s...
Key aggregate searchable encryption (kase) for group data sharing via cloud storage
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Key aggregate searchable encryption (kase) for group data sharing via cloud s...
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This document proposes and defines the problem of privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE). It establishes strict privacy requirements for such a system, including data privacy, index privacy, keyword privacy and trapdoor privacy. It presents the MRSE framework with four algorithms: Setup, BuildIndex, Trapdoor and Query. The Query algorithm allows cloud servers to perform a ranked search on encrypted indexes and return similarity-ranked results, while preserving privacy.
Privacy preserving multi-keyword ranked search over encrypted cloud data
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.
2.achieving practical symmetric searchable encryption with search pattern pri...
The document proposes a practical symmetric searchable encryption scheme that achieves search pattern privacy and enhanced backward privacy. It leverages k-anonymity and encryption to design an obfuscating technique. Based on this technique and using pseudorandom functions and generators, it designs a dynamic SSE scheme to support private single keyword queries while achieving the two privacy goals. The scheme is also extended to support efficient boolean queries and is analyzed to be secure and efficient.
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Key aggregate cryptosystem for scalable data sharing in cloud storage
This document proposes a key-aggregate cryptosystem (KAC) to securely and efficiently share data in cloud storage. KAC allows data owners to generate constant-sized decryption keys that delegate access to any subset of encrypted files, without increasing key size. It describes the existing approaches that encrypt data before uploading but have increasing costs as more decryption keys are shared. The proposed KAC system uses a special public-key encryption technique that produces constant-sized aggregate decryption keys that can decrypt any ciphertext associated with attribute classes contained in the key. It outlines the authentication, encryption, sharing, and decryption modules and concludes that KAC provides a more flexible delegation method compared to hierarchical key assignment.
key-aggregate cryptosystem for scalable data sharing in cloud storage
LOGIC SYSTEMS
1st Floor, Reddy Comlex, Opp. SPencers, Near Satyam Theatre, Ameerpet, Hyderabad
9533694296,9703109334
logicsystemsprojects@gmail.com
www.logicsystems.org.in
Security analysis of a privacy preserving decentralized key-policy attribute-...
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Key aggregate cryptosystem for scalable data sharing in cloud storage
It describes the overall view of our porject which is helpfull in presentations.It contains the introduction to conclusion part.
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Attribute based storage supporting
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Enabling fine grained multi-keyword search
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SPCHS Construction for Expeditious Keyword Search in Cipher Text
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.
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Privacy preserving multi-keyword ranked search over encrypted cloud data
TO GET THIS PROJECT THROUGH ONLINE OR TRAINING SESSION CONTACT:
LansA Informatics Pvt Ltd
No 165, 5th Street,
Crosscut road, Gandhipuram,
Coimbatore - 641 012
Landline: 0422 - 4204373
Mobile: +91 90 953 953 33
Email :lansa.projects@gmail.com
Website: www.lansainformatics.com
Blog: www.lansastudentscdc.blogspot.com
Key aggregate searchable encryption (kase) for group data sharing via cloud s...
We are the company providing Complete Solution for all Academic Final Year/Semester Student Projects. Our projects are
suitable for B.E (CSE,IT,ECE,EEE), B.Tech (CSE,IT,ECE,EEE),M.Tech (CSE,IT,ECE,EEE) B.sc (IT & CSE), M.sc (IT & CSE),
MCA, and many more..... We are specialized on Java,Dot Net ,PHP & Andirod technologies. Each Project listed comes with
the following deliverable: 1. Project Abstract 2. Complete functional code 3. Complete Project report with diagrams 4.
Database 5. Screen-shots 6. Video File
SERVICE AT CLOUDTECHNOLOGIES
IEEE, WEB, WINDOWS PROJECTS ON DOT NET, JAVA& ANDROID TECHNOLOGIES,EMBEDDED SYSTEMS,MAT LAB,VLSI DESIGN.
ME, M-TECH PAPER PUBLISHING
COLLEGE TRAINING
Thanks&Regards
cloudtechnologies
# 304, Siri Towers,Behind Prime Hospitals
Maitrivanam, Ameerpet.
Contact:-8121953811,8522991105.040-65511811
cloudtechnologiesprojects@gmail.com
http://cloudstechnologies.in/
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.
Access Control & Encryption In Cloud Environments
A survey of current research in access control and encryption techniques for cloud and distributed computing.
Key-Aggregate Searchable Encryption (KASE) for Group Data Sharing via Cloud S...
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
Key aggregate searchable encryption (kase) for group data sharing via cloud s...
Key aggregate searchable encryption (kase) for group data sharing via cloud 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
Key aggregate searchable encryption (kase) for group data sharing via cloud s...
Key aggregate searchable encryption (kase) for group data sharing via cloud s...Pvrtechnologies Nellore
This document describes a proposed cryptosystem for secure and efficient data sharing in cloud storage. It allows a user to encrypt files with different public keys but send a receiver a single constant-size decryption key that gives decryption rights to any set of ciphertexts. This allows flexible sharing of encrypted data while keeping decryption keys compact. The proposed system aims to address disadvantages of existing approaches like unexpected privilege escalation exposing all data or inefficient key sizes. It provides security based on number-theoretic assumptions without relying on servers for access control.Â
Privacy preserving multi-keyword ranked search over encrypted cloud data 2
This document proposes and defines the problem of privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE). It establishes strict privacy requirements for such a system, including data privacy, index privacy, keyword privacy and trapdoor privacy. It presents the MRSE framework with four algorithms: Setup, BuildIndex, Trapdoor and Query. The Query algorithm allows cloud servers to perform a ranked search on encrypted indexes and return similarity-ranked results, while preserving privacy.
Privacy preserving multi-keyword ranked search over encrypted cloud data
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.
2.achieving practical symmetric searchable encryption with search pattern pri...
The document proposes a practical symmetric searchable encryption scheme that achieves search pattern privacy and enhanced backward privacy. It leverages k-anonymity and encryption to design an obfuscating technique. Based on this technique and using pseudorandom functions and generators, it designs a dynamic SSE scheme to support private single keyword queries while achieving the two privacy goals. The scheme is also extended to support efficient boolean queries and is analyzed to be secure and efficient.
Key aggregate cryptosystem for scalable data sharing in cloud storage
Key aggregate cryptosystem for scalable data sharing in cloud storage using pairng based cryptography. We used JPBC tool to implement Key Aggregate cryptosystem.
KEY-AGGREGATE SEARCHABLE ENCRYPTION (KASE) FOR GROUP DATA SHARING VIA CLOUD ...
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
Key aggregate cryptosystem for scalable data sharing in cloud storage
This document proposes a key-aggregate cryptosystem (KAC) to securely and efficiently share data in cloud storage. KAC allows data owners to generate constant-sized decryption keys that delegate access to any subset of encrypted files, without increasing key size. It describes the existing approaches that encrypt data before uploading but have increasing costs as more decryption keys are shared. The proposed KAC system uses a special public-key encryption technique that produces constant-sized aggregate decryption keys that can decrypt any ciphertext associated with attribute classes contained in the key. It outlines the authentication, encryption, sharing, and decryption modules and concludes that KAC provides a more flexible delegation method compared to hierarchical key assignment.
key-aggregate cryptosystem for scalable data sharing in cloud storage
LOGIC SYSTEMS
1st Floor, Reddy Comlex, Opp. SPencers, Near Satyam Theatre, Ameerpet, Hyderabad
9533694296,9703109334
logicsystemsprojects@gmail.com
www.logicsystems.org.in
Security analysis of a privacy preserving decentralized key-policy attribute-...
Security analysis of a privacy preserving decentralized key-policy attribute-...JPINFOTECH JAYAPRAKASH
The document summarizes a research paper that analyzes the security of a decentralized key-policy attribute-based encryption (ABE) scheme proposed by Han et al. The summary states that while Han et al. claimed their ABE scheme achieved better privacy for users and was provably secure, after careful reexamination the scheme was found to be vulnerable to collusion attacks and failed to meet basic security definitions for ABE systems. A new ABE system is proposed that can resist collusion attacks.Â
Key aggregate cryptosystem for scalable data sharing in cloud storage
It describes the overall view of our porject which is helpfull in presentations.It contains the introduction to conclusion part.
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...Pvrtechnologies Nellore
Enabling efficient multi keyword ranked search over encrypted mobile cloud data through blind storageÂ
M-Tech Project Attribute-Based Storage Supporting Secure Deduplication of Enc...
The document proposes an attribute-based storage system that supports secure deduplication of encrypted data in cloud computing. It uses ciphertext-policy attribute-based encryption (CP-ABE) which allows data to be encrypted for access by users with specific attributes, avoiding duplicate storage. A private cloud performs duplicate detection and regeneration of ciphertexts for the same data under different access policies, while a public cloud stores the data. This ensures secure data sharing and prevents wasted storage from duplicative encrypted copies of the same data.
Attribute based storage supporting
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Privacy preserving multi-keyword ranked search over encrypted cloud data
Privacy preserving multi-keyword ranked search over encrypted cloud data
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Key aggregate searchable encryption (kase) for group data sharing via cloud s...
Key aggregate searchable encryption (kase) for group data sharing via cloud s...
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Key aggregate searchable encryption (kase) for group data sharing via cloud s...
Key aggregate searchable encryption (kase) for group data sharing via cloud s...
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Privacy preserving multi-keyword ranked search over encrypted cloud data 2
Privacy preserving multi-keyword ranked search over encrypted cloud data 2
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Privacy preserving multi-keyword ranked search over encrypted cloud data
Privacy preserving multi-keyword ranked search over encrypted cloud data
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2.achieving practical symmetric searchable encryption with search pattern pri...
2.achieving practical symmetric searchable encryption with search pattern pri...
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Key aggregate cryptosystem for scalable data sharing in cloud storage
Key aggregate cryptosystem for scalable data sharing in cloud storage
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KEY-AGGREGATE SEARCHABLE ENCRYPTION (KASE) FOR GROUP DATA SHARING VIA CLOUD ...
KEY-AGGREGATE SEARCHABLE ENCRYPTION (KASE) FOR GROUP DATA SHARING VIA CLOUD ...
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Key aggregate cryptosystem for scalable data sharing in cloud storage
Key aggregate cryptosystem for scalable data sharing in cloud storage
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key-aggregate cryptosystem for scalable data sharing in cloud storage
key-aggregate cryptosystem for scalable data sharing in cloud storage
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Security analysis of a privacy preserving decentralized key-policy attribute-...
Security analysis of a privacy preserving decentralized key-policy attribute-...
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Key aggregate cryptosystem for scalable data sharing in cloud storage
Key aggregate cryptosystem for scalable data sharing in cloud storage
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Enabling efficient multi keyword ranked search over encrypted mobile cloud da...
Enabling efficient multi keyword ranked search over encrypted mobile cloud da...
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M-Tech Project Attribute-Based Storage Supporting Secure Deduplication of Enc...
M-Tech Project Attribute-Based Storage Supporting Secure Deduplication of Enc...
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Similar to Searchable Symmetric Encryption with Forward Search Privacy
Enabling fine grained multi-keyword search
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A Crypto-System with Embedded Error Control for Secure and Reliable Communica...
In this paper we propose a novel Crypto-System with Embedded Error Control (CSEEC). The system supports data security and reliability using forward error correction codes (FEC). Security is provided through the use of a new symmetric encryption algorithm, while reliability is provided through the support of FEC codes. The system also supports joint security and reliability in which encryption and encoding are performed in a single step. The system aims at speeding up the encryption and encoding operations and reduces the hardware dedicated to each of these operations.In addition, the proposed system allows users to achieve secure and reliable communication in which they can alternate between a priority onsecurity and reliabilityand scale their choice to the desired level in order to attain communication quality and fulfill application needs. The system targets resource constrained nodes such as remote sensor nodes operating in noisy environments.
SPCHS Construction for Expeditious Keyword Search in Cipher Text
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.
8
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.
8
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Tees an efficient search scheme over
We would like to propose a multi-keyword search scheme to perform encrypted data search over mobile cloud in future.
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Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data
Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data JAYAPRAKASH JPINFOTECH
Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data
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INTRODUCTION
This document provides an overview of file security systems and encryption techniques. It begins with an introduction to access control and the need to protect important files from unauthorized access. It then reviews 13 relevant research papers on topics like parallel AES encryption on GPUs, key management in secure network file systems, image encryption using color, and evaluations of existing file security systems. The document discusses techniques like separating key management from file security, hybrid encryption algorithms, and performance evaluations of encrypted file systems. Overall, it covers a range of cryptographic techniques and file security systems aimed at securely storing and sharing files.
A secure and dynamic multi keyword ranked
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Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data
Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data
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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.
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...
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Privacy preserving multi-keyword ranked search over encrypted cloud data
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Privacy preserving multi-keyword ranked search over encrypted cloud data
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.
Privacy preserving multi-keyword ranked search over encrypted cloud data
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Eplq efficient privacy preserving location-based query over outsourced encryp...
Eplq efficient privacy preserving location-based query over outsourced encrypted data
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Secure Phrase Search for Intelligent Processing ofEncrypted Data in Cloud-Bas...
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
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Similar to Searchable Symmetric Encryption with Forward Search Privacy (20)
A Crypto-System with Embedded Error Control for Secure and Reliable Communica...
A Crypto-System with Embedded Error Control for Secure and Reliable Communica...
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SPCHS Construction for Expeditious Keyword Search in Cipher Text
SPCHS Construction for Expeditious Keyword Search in Cipher Text
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A Secure and Dynamic Multi-keyword Ranked Search Scheme over Encrypted Cloud ...
A Secure and Dynamic Multi-keyword Ranked Search Scheme over Encrypted Cloud ...
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A Secure and Dynamic Multi-keyword Ranked Search Scheme over Encrypted Cloud ...
A Secure and Dynamic Multi-keyword Ranked Search Scheme over Encrypted Cloud ...
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Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data
Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data
Â
Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data
Privacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data
Â
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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A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...
A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...
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Privacy preserving multi-keyword ranked search over encrypted cloud data
Privacy preserving multi-keyword ranked search over encrypted cloud data
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Privacy preserving multi-keyword ranked search over encrypted cloud data
Privacy preserving multi-keyword ranked search over encrypted cloud data
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Privacy preserving multi-keyword ranked search over encrypted cloud data
Privacy preserving multi-keyword ranked search over encrypted cloud data
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Eplq efficient privacy preserving location-based query over outsourced encryp...
Eplq efficient privacy preserving location-based query over outsourced encryp...
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Secure Phrase Search for Intelligent Processing ofEncrypted Data in Cloud-Bas...
Secure Phrase Search for Intelligent Processing ofEncrypted Data in Cloud-Bas...
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To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
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To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
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Novel Intrusion Detection and Prevention for Mobile Ad Hoc Networks
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To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Node-Level Trust Evaluation in Wireless Sensor Networks
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To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
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LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
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LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
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Â
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How to Build a Module in Odoo 17 Using the Scaffold Method
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Searchable Symmetric Encryption with Forward Search Privacy
- 1. Searchable Symmetric Encryption with Forward Search Privacy ABSTRACT: Searchable symmetric encryption (SSE) has been widely applied in the encrypted database for queries in practice. Although SSE is powerful and feature-rich, it is always plagued by information leaks. Some recent attacks point out that forward privacy which disallows leakage from update operations, now becomes a basic requirement for any newly designed SSE schemes. However, the subsequent search operations can still leak a significant amount of information. To further strengthen security, we extend the definition of forward privacy and propose the notion of âforward search privacyâ. Intuitively, it requires search operations over newly added documents do not leak any information about past queries. The enhanced security notion poses new challenges to the design of SSE. We address the challenges by developing the hidden pointer technique (HPT) and propose a new SSE scheme called Khons, which satisfies our security notion (with the original forward privacy notion) and is also efficient. We implemented Khons and our experiment results on large dataset (wikipedia) show that it is more efficient than existing SSEschemes with forward privacy. SYSTEM REQUIREMENTS: HARDWARE REQUIREMENTS: ī System : Pentium Dual Core. ī Hard Disk : 120 GB.
- 2. ī Monitor : 15ââ LED ī Input Devices : Keyboard, Mouse ī Ram : 1 GB. SOFTWARE REQUIREMENTS: ī Operating system : Windows 7. ī Coding Language : ASP.NET,C#.NET ī Tool : Visual Studio 2008 ī Database : SQL SERVER 2005 REFERENCE: Jin Li, Yanyu Huang, Yu Wei, Siyi Lv, Zheli Liu_, Changyu Dong and Wenjing Lou, Fellow, IEEE, âSearchable Symmetric Encryption with Forward Search Privacyâ, IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2019.