scholarly journals Persistent Cohesion with Advanced Ring Signatures for Shared Data in Cloud

2021 ◽  
Vol 9 (11) ◽  
pp. 351-355
Author(s):  
M. Shaheda Begum
Keyword(s):  
Data Integrity ◽  
Privacy Preserving ◽  
Human Errors ◽  
Public Auditing ◽  
Cloud Data ◽  
Software Failures ◽  
Data Services ◽  
Shared Data ◽  
Ring Signatures ◽  
Stored Information

Abstract: Motivated by the exponential growth and the huge success of cloud data services bring the cloud common place for data to be not only stored in the cloud, but also shared across multiple users. Our scheme also has the added feature of access control in which only valid users are able to decrypt the stored information. Unfortunately, the integrity of cloud data is subject to skepticism due to the existence of hardware/software failures and human errors. Several mechanisms have been designed to allow both data owners and public verifiers to efficiently audit cloud data integrity without retrieving the entire data from the cloud server. However, public auditing on the integrity of shared data with these existing mechanisms will inevitably reveal confidential information—identity privacy—to public verifiers. In this paper, we propose a novel privacy-preserving mechanism that supports public auditing on shared data stored in the cloud. In particular, we exploit ring signatures to compute verification metadata needed to audit the correctness of shared data. With our mechanism, the identity of the signer on each block in shared data is kept private from public verifiers, who are able to efficiently verify shared data integrity without retrieving the entire file. In addition, our mechanism is able to perform multiple auditing tasks simultaneously instead of verifying them one by one. Our experimental results demonstrate the effectiveness and efficiency of our mechanism when auditing shared data integrity. Keywords: Public auditing, privacy-preserving, shared data, cloud computing

scholarly journals ID-Based Public Auditing Protocol for Cloud Data Integrity Checking with Privacy-Preserving and Effective Aggregation Verification

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Baoyuan Kang ◽  
Lin Si ◽  
Hong Jiang ◽  
Chunqing Li ◽  
Mingming Xie
Keyword(s):  
Rapid Development ◽  
Data Integrity ◽  
Cloud Service ◽  
Data File ◽  
Privacy Preserving ◽  
Forgery Attack ◽  
Public Auditing ◽  
Cloud Data ◽  
Integrity Checking ◽  
Data Integrity Checking

With the rapid development of cloud service, people with limited storage space can store their data files to the cloud and delete the file in their memory. However, the cloud service provider may change or partly delete user’s file for his benefit. Therefore, it is necessary for the user to periodically check the data file integrity. Public auditing protocols are just designated for checking the data file integrity by an auditor on behalf of the user. Recently, based on ID-based cryptography many ID-based public auditing protocols for cloud data integrity checking are proposed. However, some existing protocols are subjected to forgery attack. Other existing protocols cannot preserve the privacy of the user, as the auditor can obtain user’s file content through times of auditing the same file blocks. In this paper, we propose a new ID-based public auditing protocol for cloud data integrity checking with optimized structure, privacy-preserving, and effective aggregation verification. We also prove that the proposed protocol can resist forgery attack under the assumption that the Diffie-Hellman problem is hard. Furthermore, we compare our protocol with other ID-based auditing protocols.

scholarly journals Remote Data Possession Checking Scheme with Supporting Efficient Group User Authority Management for Shared Cloud Data

2021 ◽  
Author(s):  
Yilin Yuan ◽  
Jianbiao Zhang ◽  
Wanshan Xu ◽  
Xiao Wang ◽  
Yanhui Liu
Keyword(s):  
Security Analysis ◽  
Public Auditing ◽  
Cloud Data ◽  
The Public ◽  
Shared Data ◽  
Identity Based ◽  
And Performance ◽  
Data Auditing ◽  
Data Checking ◽  
Remote Data

Abstract Under the shared big data environment, most of the existing data auditing schemes rarely consider the authorization management of group users. Meanwhile, how to deal with the shared data integrity is a problem that needs to be pondered. Thus, in this paper, we propose a novel remote data checking possession scheme which achieves group authority management while completing the public auditing. To perform authority management work, we introduce a trusted entity – group manager. We formalize a new algebraic structure operator named authorization invisible authenticator (AIA). Meanwhile, we provide two versions of AIA scheme: basic AIA scheme and standard AIA scheme. The standard AIA scheme is constructed based on the basic AIA scheme and user information table (UIT), with advanced security and wider applicable scenarios. By virtue of standard AIA scheme, the group manager can perfectly and easily carry out authority management, including enrolling, revoking, updating. On the basis of the above, we further design a public auditing scheme for non-revoked users’ shared data. The scheme is based on identity-based encryption (IBE), which greatly reduce the necessary certificate management cost. Furthermore, the detailed security analysis and performance evaluation demonstrate that the scheme is safe and feasible.

scholarly journals Privacy-preserving public auditing with data deduplication in cloud computing

2021 ◽  
Author(s):  
Naelah Abdulrahman Alkhojandi
Keyword(s):  
Data Integrity ◽  
Privacy Preserving ◽  
Cloud Services ◽  
Storage Efficiency ◽  
Data Deduplication ◽  
Public Auditing ◽  
Efficient Data ◽  
User Revocation ◽  
Public Auditability ◽  
And Storage

Storage represents one of the most commonly used cloud services. Data integrity and storage efficiency are two key requirements when storing users’ data. Public auditability, where users can employ a Third Part Auditor (TPA) to ensure data integrity, and efficient data deduplication which can be used to eliminate duplicate data and their corresponding authentication tags before sending the data to the cloud, offer possible solutions to address these requirements. In this thesis, we propose a privacy preserving public auditing scheme with data deduplication. We also present an extension of our proposed scheme that enables the TPA to perform multiple auditing tasks at the same time. Our analytical and experimental results show the efficiency of the batch auditing by reducing the number of pairing operations need for the auditing. Then, we extend our work to support user revocation where one of the users wants to leave the enterprise.

scholarly journals Privacy-preserving public auditing with data deduplication in cloud computing

2021 ◽  
Author(s):  
Naelah Abdulrahman Alkhojandi
Keyword(s):  
Data Integrity ◽  
Privacy Preserving ◽  
Cloud Services ◽  
Storage Efficiency ◽  
Data Deduplication ◽  
Public Auditing ◽  
Efficient Data ◽  
User Revocation ◽  
Public Auditability ◽  
And Storage

Storage represents one of the most commonly used cloud services. Data integrity and storage efficiency are two key requirements when storing users’ data. Public auditability, where users can employ a Third Part Auditor (TPA) to ensure data integrity, and efficient data deduplication which can be used to eliminate duplicate data and their corresponding authentication tags before sending the data to the cloud, offer possible solutions to address these requirements. In this thesis, we propose a privacy preserving public auditing scheme with data deduplication. We also present an extension of our proposed scheme that enables the TPA to perform multiple auditing tasks at the same time. Our analytical and experimental results show the efficiency of the batch auditing by reducing the number of pairing operations need for the auditing. Then, we extend our work to support user revocation where one of the users wants to leave the enterprise.

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