Presentation 2006-07-21
Secure optimization of Traveling Salesman Problem using Scalar Product Comparison Protocol
Jun SAKUMA, Shigenobu KOBAYASHI,
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Abstract(in English) We propose a secure local search protocol for the distributed combinatorial optimization problem. In the distributed combinatorial optimization problem, information regarding the cost function is distributed among multi parties. In distributed Traveling Salesman Problem (TSP), traveling costs between any two cities and city sets to be visited are distributed and private. Distributed TSP can be securely solved by secure local search based on private scalar product comparision protocol without revealing distributed information. The time complexity of our protocol is O(n^2) in preparation phase where n is the number of cities but the computation time is kept O(1) per one iteration. The waiting time required to complete the optimization is reasonable even when the city-size is more than a thousand and the optimization is processed without sharing the distributed information.
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Keyword(in English) Multi-party protocol / privacy / optimization / scalar product comparison / TSP / supply chain management
Paper # ISEC2006-45
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Committee ISEC
Conference Date 2006/7/14(1days)
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Registration To Information Security (ISEC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Secure optimization of Traveling Salesman Problem using Scalar Product Comparison Protocol
Sub Title (in English)
Keyword(1) Multi-party protocol
Keyword(2) privacy
Keyword(3) optimization
Keyword(4) scalar product comparison
Keyword(5) TSP
Keyword(6) supply chain management
1st Author's Name Jun SAKUMA
1st Author's Affiliation Department of Computational Ingelligence and Systems Science()
2nd Author's Name Shigenobu KOBAYASHI
2nd Author's Affiliation Department of Computational Ingelligence and Systems Science
Date 2006-07-21
Paper # ISEC2006-45
Volume (vol) vol.106
Number (no) 176
Page pp.pp.-
#Pages 8
Date of Issue