A Universal Deduplication Architecture for Secure and Efficient Cloud Storage

Kevin Saric, G. Ramachandran, S. Pal, R. Jurdak, Surya Nepal
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引用次数: 1

Abstract

Users now produce data at a rate that exceeds their ability to securely store and manage it all, provoking them to entrust their private files to Cloud Storage Providers (CSPs). These companies discreetly inspect users’ files to undertake deduplication, which stores only a single instance of files that are redundant across their user base. By undertaking deduplication in this way, the CSP acquires low-cost storage at the expense of user privacy. This paper proposes universal deduplication, an alternative approach which shifts the advantage of deduplication from the CSP to the users, while ensuring semantic security of the users’ transmitted data. Universal deduplication leverages indications of the trustworthiness of data availability on the Internet, paired with a format to automatically combine client-side deduplication and end-to-end encryption. By referencing data that is publicly available on the Internet, user files can be privately deduplicated without the need to transmit sensitive user data, while simultaneously reducing storage and encryption costs. An architecture for the implementation of universal deduplication is proposed in this paper, along with a preliminary investigation into the feasibility of the proposed concepts.
统一的重复数据删除架构,实现安全高效的云存储
现在,用户产生数据的速度超过了他们安全存储和管理数据的能力,这促使他们将自己的私人文件委托给云存储提供商(csp)。这些公司谨慎地检查用户的文件,以进行重复数据删除,这只存储在其用户群中冗余的单个文件实例。通过这种方式进行重复数据删除,CSP以牺牲用户隐私为代价获得了低成本的存储空间。通用重复数据删除是一种将重复数据删除的优势从CSP转移到用户的替代方法,同时保证用户传输数据的语义安全。通用重复数据删除利用了Internet上数据可用性的可信赖性指示,并搭配了一种格式来自动结合客户端重复数据删除和端到端加密。通过引用Internet上公开可用的数据,用户文件可以在不需要传输敏感用户数据的情况下私下进行重复数据删除,同时降低了存储和加密成本。本文提出了一种实现通用重复数据删除的体系结构,并对所提出概念的可行性进行了初步调查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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