Title: Efficient public integrity auditing with secure deduplication in cloud computing

Authors: Huixia Huo; Tao Jiang; Shichong Tan; Xiaoling Tao

Addresses: State Key Laboratory of Integrated Service Networks (ISN), Xidian University, Xian, Shanxi, China ' State Key Laboratory of Integrated Service Networks (ISN), Xidian University, Xian, Shanxi, China ' School of network and Information Security, Xidian University, Xian, Shanxi, China ' Guangxi Colleges and Universities Key Laboratory of Cloud Computing and Complex Systems, Guilin University of Electronic Technology, Guilin, Guangxi, China; Guangxi Cooperative Innovation Center of Cloud Computing and Big Data, Guilin University of Electronic Technology, Guilin, Guangxi, China

Abstract: With the rapid development of cloud computing, storing data to cloud server becomes an increasing trend which promotes integrity auditing and data deduplication to be two hot research topics. Recently, some existing schemes addressed a problem about integrity auditing with deduplication. However, these schemes did not support aggregating authentication tags of different users in the integrity auditing process, which caused a heavy computation cost to the third party auditor TPA, especially in the batch auditing process. In this paper, we propose an efficient public auditing with secure deduplication scheme using the idea of aggregate signature, which makes the TPA verify the correctness of integrity proof generated by the cloud service provider with a constant computation cost. Our scheme can also efficiently support batch auditing, whose auditing complexity on the TPA is independent of the number of auditing tasks. Finally, we prove that our scheme is secure and efficient through security analysis and performance evaluation.

Keywords: efficient integrity auditing; secure deduplication; aggregate signature; batch auditing; cloud computing.

DOI: 10.1504/IJES.2019.103995

International Journal of Embedded Systems, 2019 Vol.11 No.6, pp.764 - 777

Received: 12 Aug 2017
Accepted: 02 Dec 2017

Published online: 02 Dec 2019 *

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