A Privacy-Preserving Remote Data Integrity Checking Protocol with Data Dynamics and Public Verifiability

Authors:
Zhuo Hao;Sheng Zhong;Nenghai Yu
Affiliations:
University of Science and Technology of China, Hefei;State University of New York at Buffalo, Amherst;University of Science and Technology of China, Hefei
Venue:
IEEE Transactions on Knowledge and Data Engineering
Year:
2011

Citing 0
Cited 3

Knox: privacy-preserving auditing for shared data with large groups in the cloud

ACNS'12 Proceedings of the 10th international conference on Applied Cryptography and Network Security
A Publicly Verifiable Dynamic Secret Sharing Protocol for Secure and Dependable Data Storage in Cloud Computing

International Journal of Cloud Applications and Computing
Data dynamics for remote data possession checking in cloud storage

Computers and Electrical Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

Remote data integrity checking is a crucial technology in cloud computing. Recently, many works focus on providing data dynamics and/or public verifiability to this type of protocols. Existing protocols can support both features with the help of a third-party auditor. In a previous work, Seb茅 et al. [1] propose a remote data integrity checking protocol that supports data dynamics. In this paper, we adapt Seb茅 et al.'s protocol to support public verifiability. The proposed protocol supports public verifiability without help of a third-party auditor. In addition, the proposed protocol does not leak any private information to third-party verifiers. Through a formal analysis, we show the correctness and security of the protocol. After that, through theoretical analysis and experimental results, we demonstrate that the proposed protocol has a good performance.