Collaboratively Solving the Traveling Salesman Problem with Limited Disclosure - LNCS 8566: Data and Applications Security and Privacy XXVIII Access content directly
Conference Papers Year : 2014

Collaboratively Solving the Traveling Salesman Problem with Limited Disclosure

Yuan Hong
  • Function : Author
  • PersonId : 978060
Haibing Lu
  • Function : Author
  • PersonId : 978062
Lingyu Wang
  • Function : Author
  • PersonId : 978063

Abstract

With increasing resource constraints, optimization is necessary to make the best use of scarce resources. Given the ubiquitous connectivity and availability of information, collaborative optimization problems can be formulated by different parties to jointly optimize their operations. However, this cannot usually be done without restraint since privacy/security concerns often inhibit the complete sharing of proprietary information. The field of privacy-preserving optimization studies how collaborative optimization can be performed with limited disclosure. In this paper, we develop privacy-preserving solutions for collaboratively solving the traveling salesman problem (TSP), a fundamental combinatorial optimization problem with applications in diverse fields such as planning, logistics and production. We propose a secure and efficient protocol for multiple participants to formulate and solve such a problem without sharing any private information. We formally prove the protocol security under the rigorous definition of secure multiparty computation (SMC), and demonstrate its effectiveness with experimental results using real data.
Fichier principal
Vignette du fichier
978-3-662-43936-4_12_Chapter.pdf (4 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01284854 , version 1 (08-03-2016)

Licence

Attribution

Identifiers

Cite

Yuan Hong, Jaideep Vaidya, Haibing Lu, Lingyu Wang. Collaboratively Solving the Traveling Salesman Problem with Limited Disclosure. 28th IFIP Annual Conference on Data and Applications Security and Privacy (DBSec), Jul 2014, Vienna, Austria. pp.179-194, ⟨10.1007/978-3-662-43936-4_12⟩. ⟨hal-01284854⟩
35 View
218 Download

Altmetric

Share

Gmail Facebook X LinkedIn More