Dynamic Integrity Verification of Cloud Storage Data Based on Data Proxy

Wei Zhao, Xiaoming Jiang, Jingchun Wang
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Abstract

To solve the problems of frequent changes of cloud storage data blocks and high audit overhead, a data agent-based dynamic data integrity verification scheme is proposed, which supports public verification and meets dynamic operation requirements. Fine-grained data-based signature methods have significant advantages in significantly reducing signature-related costs. Besides, users can set the number of sub-blocks according to their own needs in the application process, and the scalability also reaches a high level. Under the lattice-based cryptosystem, this scheme is much more efficient than the traditional one because it mainly uses linear computation. The security of this scheme is mainly related to the decimal integer solution on the lattice. High security can affect the resistance against quantum attack and has high application value.
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基于数据代理的云存储数据动态完整性验证
针对云存储数据块变化频繁、审计开销大的问题,提出了一种基于数据代理的数据完整性动态验证方案,该方案支持公开验证,满足动态运行需求。细粒度数据签名方法在显著降低签名相关成本方面具有显著优势。此外,用户在应用过程中可以根据自己的需要设置子块的数量,可扩展性也达到了很高的水平。在基于格的密码体制下,由于该方案主要使用线性计算,因此比传统方案效率高得多。该方案的安全性主要与格上的十进制整数解有关。高安全性会影响对量子攻击的抵抗力,具有很高的应用价值。
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