基于改进哈希树模型的数据完整性验证方案

Research on Data Integrity Validation Based on Improved Hash Tree Model

针对存储在云端数据的完整性问题,结合同态认证标签机制和R-MHT哈希树结构,提出基于改进哈希树模型的数据完整性验证方案,在验证过程中能有效降低计算量和通讯开销,并能够支持数据的动态操作。实验结果证明,该方案相比传统的哈希树结构,在验证的性能上和准确性上有一定的优势,能够很好地完成数据完整性验证。

Cloud storage is the future trend of data storage, users demand access to high - quality applica-tions and services from the cloud instead of storing a copy of any data locally. Aiming at the integrity of the data stored in the cloud, this paper combined homomorphic verifiable tags with R - M H T hash tree struc-ture, proposing a data integrity verification scheme based on the improved hash tree model, which can not only effectively reduce the computational complexity and communication overhead, but also support dynamic data manipulation. Experimental results show that the proposed scheme has some advantages over the tradi-tional hash tree in performance and accuracy, and can be used to validate data integrity.