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Identity-Based Distributed Provable Data Possession in Multicloud Storage

机译:多云存储中基于身份的分布式可证明数据拥有

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摘要

Remote data integrity checking is of crucial importance in cloud storage. It can make the clients verify whether their outsourced data is kept intact without downloading the whole data. In some application scenarios, the clients have to store their data on multicloud servers. At the same time, the integrity checking protocol must be efficient in order to save the verifier's cost. From the two points, we propose a novel remote data integrity checking model: ID-DPDP (identity-based distributed provable data possession) in multicloud storage. The formal system model and security model are given. Based on the bilinear pairings, a concrete ID-DPDP protocol is designed. The proposed ID-DPDP protocol is provably secure under the hardness assumption of the standard CDH (computational Diffie-Hellman) problem. In addition to the structural advantage of elimination of certificate management, our ID-DPDP protocol is also efficient and flexible. Based on the client's authorization, the proposed ID-DPDP protocol can realize private verification, delegated verification, and public verification.
机译:远程数据完整性检查在云存储中至关重要。它可以使客户端在不下载整个数据的情况下验证其外包数据是否保持完整。在某些应用场景中,客户端必须将其数据存储在多云服务器上。同时,完整性检查协议必须高效以节省验证者的成本。从这两点出发,我们提出了一种新颖的远程数据完整性检查模型:多云存储中的ID-DPDP(基于身份的分布式可证明数据拥有)。给出了正式的系统模型和安全模型。基于双线性对,设计了具体的ID-DPDP协议。在标准CDH(计算Diffie-Hellman)问题的硬度假设下,提出的ID-DPDP协议可证明是安全的。除了消除证书管理的结构优势外,我们的ID-DPDP协议也高效,灵活。根据客户的授权,提出的ID-DPDP协议可以实现私人验证,委托验证和公共验证。

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