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Information 2016, 7(2), 31;

Efficient Dynamic Integrity Verification for Big Data Supporting Users Revocability

School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Logistic Information Center, Joint Logistics Department, Chengdu Military Region, Chengdu 610015, China
Author to whom correspondence should be addressed.
Academic Editor: Gordana Dodig-Crnkovic
Received: 6 February 2016 / Revised: 9 April 2016 / Accepted: 12 April 2016 / Published: 27 May 2016
(This article belongs to the Special Issue Recent Advances of Big Data Technology)
Full-Text   |   PDF [846 KB, uploaded 27 May 2016]   |  


With the advent of the big data era, cloud data storage and retrieval have become popular for efficient data management in large companies and organizations, thus they can enjoy the on-demand high-quality cloud storage service. Meanwhile, for security reasons, those companies and organizations would like to verify the integrity of their data once storing it in the cloud. To address this issue, they need a proper cloud storage auditing scheme which matches their actual demands. Current research often focuses on the situation where the data manager owns the data; however, the data belongs to the company, rather than the data managers in the real situation which has been overlooked. For example, the current data manager is no longer suitable to manage the data stored in the cloud after a period and will be replaced by another one. The successor needs to verify the integrity of the former managed data; this problem is obviously inevitable in reality. In this paper, we fill this gap by giving a practical efficient revocable privacy-preserving public auditing scheme for cloud storage meeting the auditing requirement of large companies and organization’s data transfer. The scheme is conceptually simple and is proven to be secure even when the cloud service provider conspires with revoked users. View Full-Text
Keywords: cloud storage; privacy-preserving; integrity verification; user revocation cloud storage; privacy-preserving; integrity verification; user revocation

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Zhang, X.; Xu, C.; Zhang, X.; Gu, T.; Geng, Z.; Liu, G. Efficient Dynamic Integrity Verification for Big Data Supporting Users Revocability. Information 2016, 7, 31.

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