Efficient and Secure Identity-Based Public Auditing for Dynamic Outsourced Data with Proxy

• Haiyang Yu,
• Yongquan Cai,
• Shanshan Kong,
• Zhenhu Ning,
• Fei Xue,
• Han Zhong,

Vol. 11, No. 10, October 30, 2017
10.3837/tiis.2017.10.019, Download Paper (Free):

• identity-based cryptography
• Public auditing
• Cloud Storage
• integrity checking
• proxy

Abstract

Cloud storage becomes a new trend that more and more users move their data to cloud storage servers (CSSs). To ensure the security of cloud storage, many cloud auditing schemes are proposed to check the integrity of users’ cloud data. However, most of them are based on public key infrastructure, which leads to complex certificates management and verification. Besides, most existing auditing schemes are inefficient when user uploads a large amount of data or a third party auditor (TPA) performs auditing for multiple users’ data on different CSSs. To overcome these problems, in this paper, we propose an efficient and secure auditing scheme based on identity-based cryptography. To relieve user’s computation burden, we introduce a proxy, which is delegated to generate and upload homomorphic verifiable tags for user. We extend our auditing scheme to support auditing for dynamic data operations. We further extend it to support batch auditing in multiple users and multiple CSSs setting, which is practical and efficient in large scale cloud storage system. Extensive security analysis shows that our scheme is provably secure in random oracle model. Performance analysis demonstrates that our scheme is highly efficient, especially reducing the computation cost of proxy and TPA.

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