In order to improve the security of data storage in cloud computing
a chameleon Hash authentication tree optimized audit method for data storage security in cloud computing is proposed. Firstly
an optimized public audit protocol is proposed. The validator homomorphic linear stored as user data on the TPA site
the cloud storage server (CSS) the size of the optimal response. At the same time
the query request of CSS is optimized by using quasi random function; Secondly
using chameleon hashing and an improved chameleon authentication tree
efficient dynamic data updates are performed on the client data (cloud)
supporting block level updates and fine grained updates; Finally
through thorough security and performance analysis
it is proved that the proposed method is secure and efficient.
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references
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