Privacy-Preserving Public Auditing for Secure Cloud Storage

被引:676
|
作者
Wang, Cong [1 ]
Chow, Sherman S. M. [2 ]
Wang, Qian [3 ]
Ren, Kui [4 ]
Lou, Wenjing [5 ]
机构
[1] City Univ Hong Kong, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R China
[2] Chinese Univ Hong Kong, Dept Informat Engn, Shatin, Hong Kong, Peoples R China
[3] Wuhan Univ, Sch Comp, Wuhan, Peoples R China
[4] SUNY Buffalo, Dept Comp Sci & Engn, Buffalo, NY 14260 USA
[5] Virginia Polytech Inst & State Univ, Dept Comp Sci, Falls Church, VA 22043 USA
基金
美国国家科学基金会;
关键词
Data storage; privacy preserving; public auditability; cloud computing; delegation; batch verification; zero knowledge; PROOFS;
D O I
10.1109/TC.2011.245
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Using cloud storage, users can remotely store their data and enjoy the on-demand high-quality applications and services from a shared pool of configurable computing resources, without the burden of local data storage and maintenance. However, the fact that users no longer have physical possession of the outsourced data makes the data integrity protection in cloud computing a formidable task, especially for users with constrained computing resources. Moreover, users should be able to just use the cloud storage as if it is local, without worrying about the need to verify its integrity. Thus, enabling public auditability for cloud storage is of critical importance so that users can resort to a third-party auditor (TPA) to check the integrity of outsourced data and be worry free. To securely introduce an effective TPA, the auditing process should bring in no new vulnerabilities toward user data privacy, and introduce no additional online burden to user. In this paper, we propose a secure cloud storage system supporting privacy-preserving public auditing. We further extend our result to enable the TPA to perform audits for multiple users simultaneously and efficiently. Extensive security and performance analysis show the proposed schemes are provably secure and highly efficient. Our preliminary experiment conducted on Amazon EC2 instance further demonstrates the fast performance of the design.
引用
收藏
页码:362 / 375
页数:14
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