4.5 Article

Public Integrity Auditing for Shared Dynamic Cloud Data with Group User Revocation

Journal

IEEE TRANSACTIONS ON COMPUTERS
Volume 65, Issue 8, Pages 2363-2373

Publisher

IEEE COMPUTER SOC
DOI: 10.1109/TC.2015.2389955

Keywords

Public integrity auditing; dynamic data; victor commitment; group signature; cloud computing

Funding

  1. National Natural Science Foundation of China [61272455]
  2. China 111 Project [B08038]
  3. Doctoral Fund of Ministry of Education of China [20130203110004]
  4. Program for New Century Excellent Talents in University [NCET-13-0946]
  5. Fundamental Research Funds for the Central Universities [BDY151402, JB142001-14]

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The advent of the cloud computing makes storage outsourcing become a rising trend, which promotes the secure remote data auditing a hot topic that appeared in the research literature. Recently some research consider the problem of secure and efficient public data integrity auditing for shared dynamic data. However, these schemes are still not secure against the collusion of cloud storage server and revoked group users during user revocation in practical cloud storage system. In this paper, we figure out the collusion attack in the exiting scheme and provide an efficient public integrity auditing scheme with secure group user revocation based on vector commitment and verifier-local revocation group signature. We design a concrete scheme based on the our scheme definition. Our scheme supports the public checking and efficient user revocation and also some nice properties, such as confidently, efficiency, countability and traceability of secure group user revocation. Finally, the security and experimental analysis show that, compared with its relevant schemes our scheme is also secure and efficient.

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