panda public auditing for shared data with efficient user revocation in the cloud
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The document presents a novel public auditing mechanism called Panda for ensuring the integrity of shared data in the cloud, focusing on efficient user revocation. By employing proxy re-signatures, the method allows the cloud to re-sign data blocks on behalf of revoked users, thus improving efficiency and reducing resource consumption for existing users. The proposed system supports simultaneous auditing tasks and is scalable, minimizing misuse of re-signing keys while maintaining data integrity.
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Public Integrity Auditing for Shared Dynamic Cloud Data with Group User Revoc...1crore projects This document describes a public integrity auditing scheme for shared dynamic cloud data with group user revocation. It discusses the problem of collusion attacks between cloud servers and revoked group users in existing schemes. The proposed scheme uses vector commitment and verifier-local revocation group signatures to enable public checking, efficient user revocation, and prevent collusion attacks. It aims to achieve security, correctness, efficiency, countability, and traceability. The scheme relies on strong Diffie-Hellman and decision linear assumptions.
147bc3d2e2ffdb1c4f10d673600dd786.Maintaining Integrity and Security for the D...
147bc3d2e2ffdb1c4f10d673600dd786.Maintaining Integrity and Security for the D...Gayathri Dili This document discusses maintaining integrity and security for data shared in the cloud. It describes how public auditing allows a third party to verify data integrity without downloading the entire files. However, this does not ensure security, as user signatures could reveal identities. The document proposes using group signatures to anonymize user identities while sharing data. It also discusses the need for verifying signatures are from authenticated users using controllable linkability, where signatures from the same user on different files can be linked. Previous literature on public auditing, group signatures, and their improvements over time to address issues like dynamic data, user revocation, and privacy are summarized.
JPJ1409 Oruta: Privacy-Preserving Public Auditing for Shared Data in the Cloud
JPJ1409 Oruta: Privacy-Preserving Public Auditing for Shared Data in the Cloudchennaijp The document proposes Oruta, a privacy-preserving public auditing mechanism for shared cloud data that utilizes ring signatures to maintain identity privacy while enabling efficient integrity verification. It addresses significant privacy issues with existing public auditing solutions by allowing public verifiers to validate shared data without accessing the entire dataset and supports batch auditing for improved efficiency. An experimental evaluation demonstrates the effectiveness of Oruta compared to existing mechanisms.
Public integrity auditing for shared dynamic cloud data with group user revoc...
Public integrity auditing for shared dynamic cloud data with group user revoc...Pvrtechnologies Nellore The document discusses a proposed system for public integrity auditing of shared dynamic cloud data with secure group user revocation. It aims to address issues with existing systems, including unexpected privilege escalation exposing all data, lack of efficiency, and insecure shared data. The proposed system uses vector commitment, asymmetric group key agreement, and group signatures to enable public auditing of data modified by multiple users, while providing traceability and countability. It is designed to be secure against collusion between revoked group users and the cloud storage server.
Privacy Preserving Public Auditing and Data Integrity for Secure Cloud Storag...
Privacy Preserving Public Auditing and Data Integrity for Secure Cloud Storag...INFOGAIN PUBLICATION This document discusses a secure cloud storage system that employs a third-party auditor (TPA) for privacy-preserving public auditing and data integrity verification. It addresses challenges in maintaining data integrity and privacy in cloud environments by proposing a blockless data verification protocol, allowing users to verify data integrity without exposing it to the auditor. The paper highlights the advantages of public auditability, dynamic support for data operations, and batch processing of auditing requests to improve system efficiency.
SURVEY ON DYNAMIC DATA SHARING IN PUBLIC CLOUD USING MULTI-AUTHORITY SYSTEM
SURVEY ON DYNAMIC DATA SHARING IN PUBLIC CLOUD USING MULTI-AUTHORITY SYSTEMijiert bestjournal The document discusses a proposed dynamic data sharing scheme in public cloud using a multi-authority system to enhance data integrity auditing and user privacy. It highlights limitations of existing systems that rely on a third-party auditor, which poses risks if the central system fails, and addresses user concerns about privacy. The proposed solution aims to provide secure public auditing while preserving anonymity and preventing collusion among authorities managing user data.
Centralized Data Verification Scheme for Encrypted Cloud Data Services
Centralized Data Verification Scheme for Encrypted Cloud Data ServicesEditor IJMTER The document presents a privacy-preserving public auditing scheme called ORUTA for cloud data services, addressing the integrity verification of shared data without revealing user identities to public verifiers. It utilizes ring signatures to maintain data privacy and supports batch auditing for efficiency, while highlighting existing limitations such as lack of traceability and high computational overhead. ORUTA facilitates secure auditing by allowing a public verifier to challenge the integrity of the data without accessing the entire dataset.
Integrity Privacy to Public Auditing for Shared Data in Cloud Computing
Integrity Privacy to Public Auditing for Shared Data in Cloud ComputingIJERA Editor The document discusses a privacy-preserving public auditing mechanism for shared data in cloud computing, addressing the challenge of maintaining identity privacy while verifying data integrity. It presents a system architecture where data is encrypted and split into blocks, with a third-party auditor (TPA) able to validate shared data without needing to download it fully. The proposed mechanism utilizes a new homomorphic authentifiable ring signature scheme to ensure that the auditor cannot identify data owners during the auditing process while supporting dynamic data management.
Ieeepro techno solutions ieee java project - oruta privacy-preserving public...
Ieeepro techno solutions ieee java project - oruta privacy-preserving public...hemanthbbc This paper presents Oruta, a novel privacy-preserving public auditing mechanism designed for shared data in cloud storage, enabling third-party auditors to verify data integrity without exposing the identities of data signers. Utilizing ring signatures and homomorphic authenticators, Oruta allows for efficient auditing while also preventing the disclosure of sensitive information, making it particularly valuable for shared data environments. The study emphasizes the need for both integrity and identity privacy in cloud auditing and demonstrates the effectiveness of the proposed mechanism through experimental results.
Ieeepro techno solutions ieee dotnet project - oruta privacy-preserving publ...
Ieeepro techno solutions ieee dotnet project - oruta privacy-preserving publ...ASAITHAMBIRAJAA This paper presents 'Oruta', a privacy-preserving public auditing mechanism for shared cloud data that maintains the anonymity of signers while allowing third-party auditors (TPAs) to verify data integrity without accessing the entire dataset. Utilizing ring signatures, the proposed system permits efficient batch auditing and random masking to enhance data privacy, addressing challenges of identity disclosure during the auditing process. Experimental results indicate that Oruta effectively maintains data integrity and reduces overhead compared to existing solutions.
Oruta: Privacy-Preserving Public Auditing for Shared Data in the Cloud
Oruta: Privacy-Preserving Public Auditing for Shared Data in the CloudMigrant Systems This document proposes a new mechanism called Oruta that allows privacy-preserving public auditing of shared data stored in the cloud. It utilizes ring signatures to construct homomorphic authenticators, allowing a third party auditor to verify the integrity of shared data for a group of users without revealing the identity of the signer on each data block. Oruta also supports batch auditing of multiple datasets and fully dynamic operations on shared data through the use of index hash tables. The mechanism aims to achieve public auditing, correctness, unforgeability, and identity privacy during the auditing process.
2014 IEEE JAVA CLOUD COMPUTING PROJECT Oruta privacy preserving public auditi...
2014 IEEE JAVA CLOUD COMPUTING PROJECT Oruta privacy preserving public auditi...IEEEFINALSEMSTUDENTPROJECTS The document presents 'Oruta,' a privacy-preserving public auditing mechanism for shared data in the cloud, enabling third-party auditors to verify data integrity without revealing user identities. This mechanism utilizes ring signatures to ensure that only authorized users can generate verification information while maintaining privacy. The proposed system addresses challenges in auditing static and dynamic user groups while enhancing data confidentiality in multi-cloud environments.
2014 IEEE JAVA CLOUD COMPUTING PROJECT Oruta privacy preserving public auditi...
2014 IEEE JAVA CLOUD COMPUTING PROJECT Oruta privacy preserving public auditi...IEEEFINALYEARSTUDENTPROJECT The document introduces Oruta, a privacy-preserving public auditing mechanism for shared data in the cloud, allowing third-party auditors to verify data integrity without revealing user identities. It highlights the limitations of existing systems and outlines the proposed architecture for static and dynamic user groups, while ensuring efficient data auditing and enhanced privacy. Additionally, future work will focus on developing auditing methods for dynamic groups while maintaining signer anonymity.
HOMOMORPHIC AUTHENTICABLE RING SIGNATURE MECHANISM FOR PUBLIC AUDITING ON SHA...
HOMOMORPHIC AUTHENTICABLE RING SIGNATURE MECHANISM FOR PUBLIC AUDITING ON SHA...Journal For Research
Public integrity auditing for shared dynamic cloud data with group user revoc...
Public integrity auditing for shared dynamic cloud data with group user revoc...Pvrtechnologies Nellore
Privacy Preserving Public Auditing and Data Integrity for Secure Cloud Storag...
Privacy Preserving Public Auditing and Data Integrity for Secure Cloud Storag...INFOGAIN PUBLICATION
2014 IEEE JAVA CLOUD COMPUTING PROJECT Oruta privacy preserving public auditi...
2014 IEEE JAVA CLOUD COMPUTING PROJECT Oruta privacy preserving public auditi...IEEEFINALSEMSTUDENTPROJECTS
2014 IEEE JAVA CLOUD COMPUTING PROJECT Oruta privacy preserving public auditi...
2014 IEEE JAVA CLOUD COMPUTING PROJECT Oruta privacy preserving public auditi...IEEEFINALYEARSTUDENTPROJECT
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panda public auditing for shared data with efficient user revocation in the cloud
- 1. Panda Public Auditing for Shared Data with Efficient User Revocation in the Cloud Panda: Public Auditing for Shared Data with Efficient User Revocation in the Cloud Contact: 9703109334, 9533694296 Email id: [email protected], www.logicsystems.org.in ABSTRACT With data storage and sharing services in the cloud, users can easily modify and share data as a group. To ensure shared data integrity can be verified publicly, users in the group need to compute signatures on all the blocks in shared data. Different blocks in shared data are generally signed by different users due to data modifications performed by different users. For security reasons, once a user is revoked from the group, the blocks which were previously signed by this revoked user must be re-signed by an existing user. The straightforward method, which allows an existing user to download the corresponding part of shared data and re-sign it during user revocation, is inefficient due to the large size of shared data in the cloud. In this paper, we propose a novel public auditing mechanism for the integrity of shared data with efficient user revocation in mind. By utilizing the idea of proxy re-signatures, we allow the cloud to resign blocks on behalf of existing users during user revocation, so that existing users do not need to download and re-sign blocks by themselves. In addition, a public verifier is always able to audit the integrity of shared data without retrieving the entire data from the cloud, even if some part of shared data has been re-signed by the cloud. Moreover, our mechanism is able to support batch auditing by verifying multiple auditing tasks simultaneously. Experimental results show that our mechanism can significantly improve the efficiency of user revocation. EXISTING SYSTEM: In existing mechanisms, a signature is attached to each block in data, and the integrity of data relies on the correctness of all the signatures. One of the most significant and common features of these mechanisms is to allow a public verifier to efficiently check data integrity in the cloud without downloading the entire data, referred to as public audit ing. This public verifier could be a client who would like to utilize cloud data for particular purposes or a thirdparty auditor (TPA) who is able to provide verification services on data integrity to users. With shared data, once a user modifies a block, she also needs to compute a new signature for the modified block. Due to the modifications from different users, different blocks are signed by different users. For security reasons, when a user leaves the group or misbehaves, this user must be revoked from the group. As a result, this revoked user should no longer be able to access and modify shared data, and the
- 2. Panda Public Auditing for Shared Data with Efficient User Revocation in the Cloud signatures generated by this revoked user are no longer valid to the group. Therefore, although the content of shared data is not changed during user revocation, the blocks, which were previously signed by the revoked user, still need to be re-signed by an existing user in the group. As a result, the integrity of the entire data can still be verified with the public keys of existing users only. DISADVANTAGES OF EXISTING SYSTEM: 1. Straightforward method may cost the existing user a huge amount of communication and computation resources. 2. The number of re-signed blocks is quite large or the membership of the group is frequently changing. In this paper, we propose Panda, a novel public auditing mechanism for the integrity of shared data with efficient user revocation in the cloud. In our mechanism, by utilizing the idea of proxy re-signatures, once a user in the group is revoked, the cloud is able to resign the blocks, which were signed by the revoked user, with a re-signing key. As a result, the efficiency of user revocation can be significantly improved, and computation and communication resources of existing users can be easily saved. Meanwhile, the cloud, which is not in the same trusted domain with each user, is only able to convert a signature of the revoked user into a signature of an existing user on the same block, but it cannot sign arbitrary blocks on behalf of either the revoked user or an existing user. By designing a new proxy re-signature scheme with nice properties, which traditional proxy resignatures do not have, our mechanism is always able to check the integrity of shared data without retrieving the entire data from the cloud. Moreover, our proposed mechanism is scalable, which indicates it is not only able to efficiently support a large number of users to share data and but also able to handle multiple auditing tasks simultaneously with batch auditing. In addition, by taking advantages of Shamir Secret Sharing, we can also extend our mechanism into the multi-proxy model to minimize the chance of the misuse on re-signing keys in the cloud and improve the reliability of the entire mechanism. Contact: 9703109334, 9533694296 PROPOSED SYSTEM: Email id: [email protected], www.logicsystems.org.in
- 3. Panda Public Auditing for Shared Data with Efficient User Revocation in the Cloud ADVANTAGES OF PROPOSED SYSTEM: 1. It follows protocols and does not pollute data integrity actively as a malicious adversary. 2. Cloud data can be efficiently shared among a large number of users, and the public verifier is able to handle a large number of auditing tasks simultaneously and efficiently. SYSTEM ARCHITECTURE: SYSTEM REQUIREMENTS: HARDWARE REQUIREMENTS: System : Pentium IV 2.4 GHz. Hard Disk : 40 GB. Floppy Drive : 1.44 Mb. Monitor : 15 VGA Colour. Mouse : Logitech. Ram : 512 Mb. Contact: 9703109334, 9533694296 Email id: [email protected], www.logicsystems.org.in
- 4. Panda Public Auditing for Shared Data with Efficient User Revocation in the Cloud SOFTWARE REQUIREMENTS: Operating system : Windows XP/7. Coding Language : ASP.net, C#.net Tool : Visual Studio 2010 Database : SQL SERVER 2008 Boyang Wang, Baochun Li, Member, IEEE, and Hui Li, Member, IEEE “Panda: Public Auditing for Shared Data with Efficient User Revocation in the Cloud ”IEEE Transactions on Services Computing, VOL. X, NO. X, XXXX 2014 Contact: 9703109334, 9533694296 REFERENCE: Email id: [email protected], www.logicsystems.org.in