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Issue title: ICNC-FSKD 2015
Guest editors: Zheng Xiao and Kenli Li
Article type: Research Article
Authors: Deng, Zuojiea; b; * | Zhou, Jinglia
Affiliations: [a] School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China | [b] School of Computer and Communication, Hunan Institute of Engineering, Xiangtan, Hunan, China
Correspondence: [*] Corresponding author. Zuojie Deng, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China. Tel.: +86 13170325659; E-mail: [email protected].
Abstract: Nowadays, cloud storage has become an attractive storage scheme for a user to store his files. When a user stores his files on a remote cloud storage system, he cannot make sure whether his files are intact, so he must use some protocol to check the integrity of his files in the cloud storage. To guarantee high availability, some cloud storage servers provide a kind of highly-available service, which stores multiple copies of user files in the cloud storage, and the file owner cannot make sure whether all these copies are intact as well. Some cloud storage servers allow his users to operate their files online. As the file owner cannot always be online, he must entrust a trusted public data auditor to check his files in the cloud storage. In this work, we investigate the above issues about provable data possession with multi-copy and data dynamics supporting public verification in a cloud storage. We design a kind of authenticated 2-3 tree with ordered leaves and use this kind of tree to organize file block tags. We design a privacy preserving provable data possession scheme with multi-copy and data dynamics which supports public verification, and use a kind of RSA tag to construct this scheme. We apply our scheme to a cloud file backup system. Our theoretical proofs and experiments show that our scheme is feasible and reasonable.
Keywords: Cloud storage, data dynamics, multi-copy, provable data possession, privacy preserving
DOI: 10.3233/JIFS-169035
Journal: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 2, pp. 1065-1078, 2016
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