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Fine-grained Data Deduplication and proof of storage Scheme in Public Cloud Storage

机译:公共云存储中存储方案的细粒度重复数据删除和证明

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Verification of the integrity of the data stored on a public cloud server is a challenging research problem. While providing on-demand service to the service consumer, the cloud service provider also requires to ensure minimizing error in data stored in a cloud storage server. To address this issue, many schemes like proof of storage (POS), proof of data possession (PDP), proof of retrievability (POR) exist in the literature. However, for practical purpose, a scheme which verifies the data stored in the server should be compatible with the standard practice of data deduplication for an efficient storage system. There are a few proof of storage with data deduplication (POSD) schemes. We observe that these schemes do not consider stronger tag consistency properties and are vulnerable to duplicate data faking attacks. Moreover, existing POSD schemes are inefficient for real-world applications. In this paper, we present an efficient proof of storage scheme with data deduplication at the block-level which allows private as well as public verification of the data stored. DPoS is secure against duplicate faking attacks and unforgeable under the standard assumption. The theoretical analysis of the DPoS scheme shows that it is efficient in comparison to related schemes.
机译:验证存储在公共云服务器上的数据的完整性是一个具有挑战性的研究问题。在向服务消费者提供按需服务的同时,云服务提供商还要求确保最小化存储在云存储服务器中的数据中的错误。为了解决这个问题,文献中存在许多像存储证明(POS),数据占有证明(PDP),可检索性证明(POR)等许多方案。然而,为了实际目的,验证存储在服务器中的数据的方案应与高效存储系统的数据重复数据删除的标准实践兼容。具有数据重复数据删除(POSD)方案的存储证明。我们观察到这些方案不考虑更强的标签一致性属性,并且易于重复数据伪造攻击。此外,现有的POSD方案对于现实世界应用效率低。在本文中,我们展示了存储方案的有效证明,其中块级别数据重复数据删除,允许私人和公共验证存储的数据。 DPOS在标准假设下防止重复的伪造攻击和不可避免。 DPOS方案的理论分析表明,与相关方案相比,它是有效的。

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