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An Authentication Data Structure of Provable Data Possession with Dynamic Data Operation in Cloud Computing

机译:云计算中具有动态数据操作的可证明数据拥有身份验证数据结构

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In public cloud, storage devices are not within the control of the enterprises. Data stored in the cloud server may be tampered or deleted illegally. Remote data integrity checking protocol enables the client to verify the integrity of data which is not stored in local. Aiming at the dynamic update operation in remote data integrity checking protocol, we propose a new authentication data structure named CBT, by deploying the tags of all data blocks to the nodes of a binary tree in a given order. Both theoretical analysis and experimental data show that, the number of nodes updated in CBT is 50 %, 69 % and 67 % compared with that of MHT in batch modification, insertion and deletion operations respectively; the memory of CBT is only two-thirds of MHT.
机译:在公共云中,存储设备不受企业控制。存储在云服务器中的数据可能会被非法篡改或删除。远程数据完整性检查协议使客户端能够验证未存储在本地的数据的完整性。针对远程数据完整性检查协议中的动态更新操作,我们通过以给定顺序将所有数据块的标签部署到二叉树的节点上,提出了一种名为CBT的新身份验证数据结构。理论分析和实验数据均表明,在批量修改,插入和删除操作中,CBT中更新的节点数分别比MHT的50%,69%和67%。 CBT的记忆仅是MHT的三分之二。

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