A Privacy-Preserving Algorithm for Distributed Constraint Optimization

被引：0

作者：

Grinshpoun, Tal ^{[1
]}

Tassa, Tamir ^{[2
]}

机构：

[1] Ariel Univ, Dept Ind Engn & Management, Ariel, Israel

[2] Open Univ, Dept Math & Comp Sci, Raanana, Israel

来源：

AAMAS'14: PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS & MULTIAGENT SYSTEMS | 2014年

关键词：

DCOP; Constraint Privacy; Search; SATISFACTION; SEARCH; ADOPT;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Distributed constraint optimization problems enable the representation of many combinatorial problems that are distributed by nature. An important motivation for such problems is to preserve the privacy of the participating agents during the solving process. The present paper introduces a novel privacy-preserving algorithm for this purpose. The proposed algorithm requires a secure solution of several multiparty computation problems. Consequently, appropriate novel secure protocols are devised and analyzed.

引用

页码：909 / 916

页数：8

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