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Collaborative Outsourced Data Integrity Checking in Multi-Cloud Environment

机译:多云环境中的协同外包数据完整性检查

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摘要

Cloud storage has been widely used to in services such as data outsourcing and resource sharing due to its convenience, low cost and flexibility. However, users will lose the physical control of their data after outsourcing; consequently, ensuring the integrity of their outsourced data becomes an important security requirement of multi-cloud storage applications. In this paper, we present a collaborative multi-cloud data integrity audition scheme, which is based on BLS (Boneh-Lynn-Shacham) signatures and homomorphic tags. According to the proposed scheme, users can audit their outsourced data in a one-round challenge-response process with low performance overhead. Our scheme also enables public verification and supports dynamic data maintenance. The theoretical analysis and experiment results illustrate that our scheme is provably secure and efficient.
机译:由于其便利性,低成本和灵活性,云存储已广泛用于数据外包和资源共享等服务。但是,用户将在外包后失去对其数据的物理控制;因此,确保其外包数据的完整性成为多云存储应用的重要安全要求。在本文中,我们提出了一种协同多云数据完整性试镜试验方案,其基于BLS(Boneh-Lynn-Shacham)签名和同态标签。根据拟议的计划,用户可以在一次性挑战响应过程中审核其外包数据,具有低性能开销。我们的方案还使公共验证并支持动态数据维护。理论分析和实验结果表明,我们的计划是可证明的安全和有效的。

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