ID-based dynamic replicated data auditing for the cloud

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Abstract

As an essential component of cloud computing, cloud storage provides flexible data storage services for individuals and organizations. By storing multiple replicas of data in servers, cloud storage providers (CSPs) can improve availability and stability of the cloud storage service. To ensure that all data replicas of a cloud user are intact and completely stored in the CSP, many multi-replica cloud auditing schemes have been proposed. However, such schemes are predominantly based on the public key infrastructure (PKI), which incurs complex certificate management. In addition, existing schemes do not consider support for sector-level dynamic auditing. In this paper, we propose a fine-grained dynamic multi-replica data auditing scheme that has the following features: (1) it uses ID-based cryptography to eliminate the cost of certificate management, (2) it supports efficient sector-level dynamic operations on cloud user data, and (3) it optimizes the challenge algorithm to reduce the computational cost of the third party auditor (TPA). We show that the proposed scheme is provably secure based on a random oracle model. The performance analysis and experiments show the efficiency of the proposed scheme.

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Yu, H., Cai, Y., Sinnott, R. O., & Yang, Z. (2019). ID-based dynamic replicated data auditing for the cloud. Concurrency and Computation: Practice and Experience, 31(11). https://doi.org/10.1002/cpe.5051

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