Int. J. of Wireless and Mobile Computing   »   2017 Vol.12, No.1

 

 

Title: Efficient public auditing for data migration across cloud systems

 

Authors: Haiyang Yu; Yongquan Cai; Fei Xue; Shanshan Kong; Gulzar Rana Khurram

 

Addresses:
College of Computer Science, Beijing University of Technology, Beijing, China
College of Computer Science, Beijing University of Technology, Beijing, China
College of Information, Beijing Wuzi University, Beijing, China
College of Computer Science, Beijing University of Technology, Beijing, China
College of Computer Science, Beijing University of Technology, Beijing, China

 

Abstract: Cloud storage has gained great attention in recent years. It brings many benefits as well as security issues. Cloud auditing technology can ensure the integrity of cloud users' data. However, it lacks efficiency when dealing with the migration scenario of a large amount of cloud data. In this paper, we propose an efficient cloud auditing scheme which supports data migration auditing. We first construct a privacy-preserving auditing scheme that can audit cloud data during data migration, which can hugely reduce the migration cost when data corruption happens. We further extend the scheme to support data update during auditing. By supporting batch auditing for multiple cloud users' migration auditing tasks, our scheme could hugely improve the efficiency. Performance analysis demonstrates that our auditing scheme is secure and efficient.

 

Keywords: cloud auditing; data migration; batch auditing; audit efficiency; public auditing; cloud computing; cloud storage; privacy preservation; privacy protection; cloud security.

 

DOI: 10.1504/IJWMC.2017.10003978

 

Int. J. of Wireless and Mobile Computing, 2017 Vol.12, No.1, pp.41 - 48

 

Submission date: 21 Jul 2016
Date of acceptance: 06 Dec 2016
Available online: 18 Mar 2017

 

 

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