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

• Published in: IEEE transactions on computers Vol. 65; no. 8; pp. 2363 - 2373
• Main Authors: Jiang, Tao, Chen, Xiaofeng, Ma, Jianfeng
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-08-2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Cloud computing; Computer information security; Cryptography; Data storage; dynamic data; Dynamical systems; Dynamics; Generators; group signature; Integrity; Mathematical analysis; Public integrity auditing; Servers; Vectors; Vectors (mathematics); victor commitment
• ISSN: 0018-9340; 1557-9956
• DOI: 10.1109/TC.2015.2389955

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.