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User stateless privacy-preserving TPA auditing scheme for cloud storage

机译:用于云存储的用户无状态隐私保护TPA审核方案

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摘要

In recent years, researchers have proposed some privacy-preserving public auditing schemes to remotely check the integrity of the outsourced data in cloud storage based on the homomorphic authenticators, random blocks sampling and random masking techniques. However, users need to maintain a table related to the block index in almost all of these schemes. It is difficult for users to maintain the table, especially when the outsourced data is frequently updated. To deal with it, a user stateless privacy-preserving public auditing scheme is put forward on rank-based authenticated skip list, which can support dynamical operations completely and makes it unnecessary for users to maintain the relevant table. When the server receives the data originally stored by the user or the user performs dynamic operations on its outsourced data, the server provide users with a time-stamped receipt signed by the both parties. The receipt can not only protect the cloud server from being extorted by the dishonest user, but also ensure that the cloud server update the user's data as required. A formal security proof for data integrity guarantee and an analysis for privacy-preserving property are made in the auditing phase to show the correctness of the scheme. The performance analysis indicates that our interactive audit protocol is with high efficiency.
机译:近年来,研究人员提出了一些保护隐私的公共审计方案,以基于同态身份验证器,随机块采样和随机掩盖技术来远程检查云存储中外包数据的完整性。但是,在几乎所有这些方案中,用户都需要维护与块索引相关的表。用户很难维护该表,尤其是在经常更新外包数据时。针对这种情况,在基于等级的认证跳过列表上提出了一种用户无状态保护隐私的公共审计方案,该方案可以完全支持动态操作,用户无需维护相关表。当服务器接收到最初由用户存储的数据或用户对其外包数据执行动态操作时,服务器会向用户提供双方签署的带时间戳的收据。收据不仅可以保护云服务器不被不诚实的用户勒索,还可以确保云服务器根据需要更新用户的数据。在审核阶段进行了正式的数据完整性保证安全证明和隐私保护属性分析,以证明该方案的正确性。性能分析表明,我们的交互式审计协议具有很高的效率。

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