Identity-Based Provable Data Possession From RSA Assumption for Secure Cloud Storage

同态加密 计算机科学 云计算 云存储 数据完整性 外包 计算机安全 理论计算机科学 数据库 加密 操作系统 政治学 法学
作者
Jianbing Ni,Kuan Zhang,Yong Yu,Tingting Yang
出处
期刊:IEEE Transactions on Dependable and Secure Computing [IEEE Computer Society]
卷期号:19 (3): 1753-1769 被引量:28
标识
DOI:10.1109/tdsc.2020.3036641
摘要

As cloud storage services have become popular nowadays, the integrity of outsourced data stored at untrusted servers received increased attention. Provable data possession (PDP) provides an effective and efficient solution for cloud data integrity by asking the cloud server to prove that the stored data are not tampered with or maliciously discarded without returning the actual data to users. In this article, we propose an efficient identity-based privacy-preserving provable data possession scheme (ID-P $^3$ DP) based on the RSA assumption for secure cloud storage. In ID-P $^3$ DP, a cloud user takes the outsourcing file and a global parameter in a time period as inputs to generate identity-based homomorphic authenticators, and any third-party auditor (TPA) can check the integrity of the outsourced file by verifying the validity of homomorphic authenticators. The distinguished feature of ID-P $^3$ DP is to support the aggregation of identity-based homomorphic authenticators generated by different users under the RSA assumption, which is an open problem in provable data possession. Specifically, we transfer the identity-based homomorphic authenticators generated in distinct time periods into those with the same period parameter, and the cloud can compress the homomorphic authenticators of different users to generate a data possession proof for integrity verification. Besides, by exploiting zero-knowledge proof, the leakage of outsourced data to TPA can be prevented. The soundness of ID-P $^3$ DP is proved based on the RSA assumption, and the privacy against TPA is perfectly preserved. Finally, we demonstrate ID-P $^3$ DP is more efficient on integrity verification than the existing BLS-based schemes, and cross-user aggregate verification can significantly reduce computational and communication overhead for TPA.
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