NDLI: Privacy-Preserving Approximate Convex Hulls Protocol

Content Provider	IEEE Xplore Digital Library
Author	Youwen Zhu Liusheng Huang Wei Yang Dong li Lingjun Li Yonglong Luo Fan Dong
Copyright Year	2009
Abstract	Secure Multi-party Computation has been a research focus for more than two decades. The Convex Hulls problem is a special case of Secure Multi-party Computation. However, the precise convex hulls will certainly expose every vertex and even bring about unfairness. As a result, the practical approximate convex hulls are in need. In this paper, we summarize and discuss the Convex Hulls problem, and then we present a new more effective protocol to privately find the approximate convex hulls. Furthermore, we analyze the correctness, security, efficiency and performance of the protocol, and compare the new scheme with other privacy-preserving convex hulls protocols. We show that the privacy-preserving approximate convex hulls protocol is more effective than the previous privacy-preserving convex hulls ones, and the new protocol is practical enough in many aspects. Perfectly keeping privacy preserving and eliminating unfairness are the great advantages of our scheme.
Starting Page	208
Ending Page	214
File Size	596457
Page Count	7
File Format	PDF
ISBN	9781424435814
DOI	10.1109/ETCS.2009.308
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Protocols Military computing Approximation Convex Hulls problem Educational technology Privacy-preserving Security Sliding mode control Computer science Privacy Quantum computing Secure Multiparty Computation Computer science education Performance analysis
Content Type	Text
Resource Type	Article

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