PADP: A parallel data possession audit model for cloud storage
Lei Yang, Kui Xu, Shi Liu · Concurrency and Computation Practice and Experience · 2017
Summary Data integrity is one of the most important attributes need to be concerned by the customers of cloud storage. We propose a parallel audit model for data possession in distributed cloud storage environment. The model utilizes the virtues of both a provable data possession model and a data possession audit model and adopts a third‐party auditor to separate users from storage service providers. By introducing the audit log mechanism, it can significantly reduce the storage and computation overhead of data possession audit while guarantee the safety of audit process. Moreover, according to the characteristics of parallel computing in cloud storage environment, we propose a data possession proving algorithm called MapReduce‐based Parallel Challenge Proof Generation Algorithm (MR_PCPGA) by improving the data possession prove algorithm based on homomorphic tag in provable data possession model. Extensive security analysis and experimental results show that the proposed schemes are provably secure and highly efficient in distributed cloud storage environment. Copyright © 2017 John Wiley & Sons, Ltd.