Remote Data Auditing in Multi-tenancy Cloud Storage by Using File Attribute Test Technique

With the increasing demand for ubiquitous connectivity, wireless technology has significantly improved our daily lives. Meanwhile, together with cloud-computing technology (e.g., cloud storage services and big data processing), new wireless networking technology becomes the foundation infrastructure of emerging communication networks. Particularly, cloud storage has been widely used in services, such as data outsourcing and resource sharing, among the heterogeneous wireless environments because of its convenience, low cost, and flexibility. However, users/clients lose the physical control of their data after outsourcing. Consequently, ensuring the integrity of the outsourced data becomes an important security requirement of cloud storage applications. In this paper, we present Co-Check, a collaborative multicloud data integrity audition scheme, which is based on BLS (Boneh-Lynn-Shacham) signature and homomorphic tags. According to the proposed scheme, clients can audit their outsourced data in a one-round challenge-response interaction with low performance overhead. Our scheme also supports dynamic data maintenance. The theoretical analysis and experiment results illustrate that our scheme is provably secure and efficient.

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

10.21203/rs.3.rs-884701/v1 ◽

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.

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Security Analysis and Improvements on a Remote Integrity Checking Scheme for Regenerating-Coding-Based Distributed Storage

Security and Communication Networks ◽

10.1155/2021/6652606 ◽

2021 ◽

Vol 2021 ◽

pp. 1-8

Author(s):

Guangjun Liu ◽

Wangmei Guo ◽

Ximeng Liu ◽

Jinbo Xiong

Keyword(s):

Distributed Storage ◽

Security Analysis ◽

Data Integrity ◽

Integrity Checking ◽

Cloud Server ◽

Data Integrity Checking ◽

Checking Scheme ◽

Data Auditing ◽

Distributed Cloud ◽

Remote Data

Enabling remote data integrity checking with failure recovery becomes exceedingly critical in distributed cloud systems. With the properties of a lower repair bandwidth while preserving fault tolerance, regenerating coding and network coding (NC) have received much attention in the coding-based storage field. Recently, an outstanding outsourced auditing scheme named NC-Audit was proposed for regenerating-coding-based distributed storage. The scheme claimed that it can effectively achieve lightweight privacy-preserving data verification remotely for these networked distributed systems. However, our algebraic analysis shows that NC-Audit can be easily broken due to a potential defect existing in its schematic design. That is, an adversarial cloud server can forge some illegal blocks to cheat the auditor with a high probability when the coding field is large. From the perspective of algebraic security, we propose a remote data integrity checking scheme RNC-Audit by resorting to hiding partial critical information to the server without compromising system performance. Our evaluation shows that the proposed scheme has significantly lower overhead compared to the state-of-the-art schemes for distributed remote data auditing.

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Certificateless remote data integrity checking using lattices in cloud storage

Neural Computing and Applications ◽

10.1007/s00521-018-3546-6 ◽

2018 ◽

Vol 31 (5) ◽

pp. 1513-1519 ◽

Cited By ~ 2

Author(s):

C. Sasikala ◽

C. Shoba Bindu

Keyword(s):

Cloud Storage ◽

Data Integrity ◽

Integrity Checking ◽

Data Integrity Checking ◽

Remote Data

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An Improved Authentication Scheme for Remote Data Access and Sharing Over Cloud Storage in Cyber-Physical-Social-Systems

IEEE Access ◽

10.1109/access.2020.2977264 ◽

2020 ◽

Vol 8 ◽

pp. 47144-47160 ◽

Cited By ~ 3

Author(s):

Zahid Ghaffar ◽

Shafiq Ahmed ◽

Khalid Mahmood ◽

Sk Hafizul Islam ◽

Mohammad Mehedi Hassan ◽

...

Keyword(s):

Cloud Storage ◽

Social Systems ◽

Data Access ◽

Authentication Scheme ◽

Remote Data

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Hierarchical remote data possession checking method based on massive cloud files

Journal of Algorithms & Computational Technology ◽

10.1177/1748301816682243 ◽

2016 ◽

Vol 11 (2) ◽

pp. 126-134

Author(s):

Ma Haifeng ◽

Gao Zhenguo ◽

Yao Nianmin

Keyword(s):

Cloud Storage ◽

False Negative ◽

False Negative Rate ◽

Data Integrity ◽

Communication Overhead ◽

Local Data ◽

Cloud Data ◽

Cloud Storage Service ◽

Integrity Protection ◽

Remote Data

Cloud storage service enables users to migrate their data and applications to the cloud, which saves the local data maintenance and brings great convenience to the users. But in cloud storage, the storage servers may not be fully trustworthy. How to verify the integrity of cloud data with lower overhead for users has become an increasingly concerned problem. Many remote data integrity protection methods have been proposed, but these methods authenticated cloud files one by one when verifying multiple files. Therefore, the computation and communication overhead are still high. Aiming at this problem, a hierarchical remote data possession checking (hierarchical-remote data possession checking (H-RDPC)) method is proposed, which can provide efficient and secure remote data integrity protection and can support dynamic data operations. This paper gives the algorithm descriptions, security, and false negative rate analysis of H-RDPC. The security analysis and experimental performance evaluation results show that the proposed H-RDPC is efficient and reliable in verifying massive cloud files, and it has 32–81% improvement in performance compared with RDPC.

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