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Remote audit for large data-based algebraic signature DCT cloud storage

机译:基于大数据的代数签名DCT云存储的远程审计

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摘要

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. (C) 2018 Elsevier Ltd. All rights reserved.
机译:对于大型数据云存储过程,为了提高数据存储效率,提出了一种基于代数签名划分和征服表(DCT)的大型数据云存储的远程审计方法。 首先,开发了一种基于代数签名的云计算数据存储的有效远程审计方案,它可以通过签名标记随机块,并且它具有与结果生成中相应的块签名相同的数据结果。 其次,设计了新的划分和征服表(DCT)数据结构,可以有效地删除和添加动态数据。 简化算法的计算难度并实现更快的计算非常重要。 最后,通过远程数据审核操作的实际文件,并与当前更高级的数据审核方法进行比较,验证了计算复杂性中算法的性能优势。 (c)2018年elestvier有限公司保留所有权利。

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