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Design and Analysis of Private-Preserving Dot Product Protocol

机译:私人保护点产品协议的设计与分析

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Private-preserving shared dot product protocol is an important protocol of many secure multi-party computation problems. It has been the main building block of various data mining algorithms with privacy concerns, and providing fundamental security guarantee for many privacy-preserving data mining algorithms. In this paper, we construct a privacy-preserving two-party shared dot product protocol based on some basic cryptographic techniques which is provably secure in malicious model; this protocol has more security than those of previous protocols in the semi-honest model. The potential areas of application of this protocol are numerous, for example, computation of Euclidean distance, privacy-preserving computational geometry, privacy-preserving cooperative statistical analysis and so on.
机译:私有保留共享点产品协议是许多安全多方计算问题的重要协议。它一直是各种数据挖掘算法的主块块,具有隐私问题,并为许多隐私保留数据挖掘算法提供基本安全保障。在本文中,我们基于一些基本的加密技术构建了一个隐私保留的双方共享点产品协议,这些技术在恶意模型中被证明是可怕的;该协议的安全性比半诚实模型中的先前协议的安全性更多。该协议的潜在应用领域是多数,例如欧几里德距离的计算,隐私保留计算几何形状,隐私保留的协同统计分析等。

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