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An Efficient Privacy-Preserving Data Auditing Scheme for Regenerating-Code-Based Cloud StorageChinese Full TextEnglish Full Text (MT)

LIU Guang-jun;XIONG Jin-bo;ZHANG Li-ning;YANG Wei-qing;LI Shao-wu;XU Xun-lei;School of Information Engineering, Xi’an University;School of Mathematics and Informatics, Fujian Normal University;North Automatic Control Technology Institute;

Abstract: The technology of regenerating codes is of important application value in big data distributed cloud storage. How to construct a mechanism of effective privacy-preservation and remote auditing by resorting to coding for a regenerating-code-based cloud storage system remains an unsolved issue. In this paper, by integrating a secure outsourcing strategy for challenge-response computation and a dynamic random linear mask technique, an efficient data auditing scheme is proposed with online privacy protection. The solution can not only achieve dynamic random real-time encryption to the response to the challenges from adversaries, but also construct an audit paradigm by which the privacy-computing can be cooperatively outsourced to the auditor. Theoretical analysis and experimental results show that this scheme achieves complete privacy protection and auditing security, and is more efficient in realization than the existing schemes.
  • DOI:

    10.13718/j.cnki.xdzk.2020.10.005

  • Series:

    (D) Agriculture; (I) Electronic Technology & Information Science

  • Subject:

    Computer Hardware Technology; Computer Software and Application of Computer

  • Classification Code:

    TP333;TP309

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