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Privacy-Preserving Computation (Position Paper)

机译:保护性计算(位置纸)

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Private data is commonly revealed to the party performing the computation on it. This poses a problem, particularly when outsourcing storage and computation, e.g., to the cloud. In this paper we present a review of security mechanisms and a research agenda for privacypreserving computation. We begin by reviewing current application scenarios where computation faces privacy requirements. We then review existing cryptographic techniques for privacy-preserving computation. And last, we outline research problems that need to be solved for implementing privacy-preserving computations. Once addressed, privacypreserving computations can quickly become a reality enhancing the privacy protection of citizens.
机译:私有数据普遍透露给执行计算的派对。这造成了问题,特别是当外包存储和计算时,例如,到云。在本文中,我们介绍了安全机制和私有保利品计算的研究议程。我们首先审查计算面临隐私要求的当前应用方案。然后,我们审查了保留了隐私计算的现有加密技术。最后,我们概述了用于实施隐私保留计算的研究问题。一旦解决,PrivacyPreveServing计算可以迅速成为增强公民隐私保护的现实。

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