Efficient Dynamic Integrity Verification for Big Data Supporting Users Revocability
AbstractWith 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
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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.
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(2):31.Chicago/Turabian Style
Zhang, Xinpeng; Xu, Chunxiang; Zhang, Xiaojun; Gu, Taizong; Geng, Zhi; Liu, Guoping. 2016. "Efficient Dynamic Integrity Verification for Big Data Supporting Users Revocability." Information 7, no. 2: 31.
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