Author(s)

Liu Hongqing

Corresponding Author

Liu Hongqing

Abstract

In order to improve the security of data storage in cloud calculation, a chameleon Hash authentication tree optimization audit method for data storage security in cloud calculation is proposed. First, an optimized public audit agreement is proposed. By storing homomorphic linear validator for user data on TPA sites, the response size of cloud storage server (CSS) is optimized. At the same time, the quasi-random function is used to optimize the query request to CSS; secondly, the chameleon hash and an improved chameleon authentication tree are used to perform efficient dynamic data updating on client data (cloud calculation) to support block-level updating and fine-grained updating; finally, through thorough security and performance analysis, it is clearly verified that the proposed method is safe and efficient.

Keywords

Cloud Calculation, Data Storage, Chameleon Authentication Tree, Third Part Audit, Quasi Random Function