改进的基于同态哈希的云存储数据完整性验证方案

An improved method of data integrity verification based on homomorphic hashing in cloud storage

为了解决云存储用户数据完整性验证问题,在分析现有远程数据完整性校验方法的基础上,在标签生成的过程中加入同态哈希与伪随机数,提出一种支持动态数据与无限次挑战的同态哈希的数据完整性验证方案。通过安全性与性能的分析证明该方案的有效性,在保证远程数据完整性的同时,减少了存储空间的冗余和带宽消耗。

Based on analysis of existing remote data integrity verification methods and using homomorphic hashing and pseudo-random numbers in the tag blocking stage, a data integrity verification method, supporting dynamic data and considering challenges to be unlimited, is proposed to deal with the problem of users ’ data integrity verification in cloud storage. The effectiveness of this method is verified through security and performance analyses. With a guarantee of maintaining the remote data integrity, the method can reduce the redundancy of storage space and the bandwidth consumption in data communication.