Abstract
For large data cloud storage process, in order to improve data storage efficiency, a remote audit method for large data cloud storage based on algebraic signature divide and conquer table (DCT) is proposed. Firstly, an efficient remote audit scheme for cloud computing data storage based on algebraic signature is developed, it can mark the random block by signature, and it has the same data result as the corresponding block signature in the result generation. Secondly, a new divide-and-conquer table (DCT) data structure is designed, which can effectively delete and add dynamic data. It is very important to simplify the computational difficulty of the algorithm and achieve faster calculation. Finally, through the remote data audit operation of real files, and compared with the current more advanced data audit methods, the performance advantages of the algorithm in computation complexity are verified.
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