Privacy-Preserving Trade Chain Detection

  • Stefan WüllerEmail author
  • Malte Breuer
  • Ulrike Meyer
  • Susanne Wetzel
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11025)


In this paper, we present a novel multi-party protocol to facilitate the privacy-preserving detection of trade chains in the context of bartering. Our approach is to transform the parties’ private quotes into a flow network such that a minimum-cost flow in this network encodes a set of simultaneously executable trade chains for which the number of parties that can trade is maximized. At the core of our novel protocol is a newly developed privacy-preserving implementation of the cycle canceling algorithm that can be used to solve the minimum cost flow problem on encrypted flow networks.



In part, this work was supported by NSF grant #1646999 and DFG grant ME 3704/4-1. This work was carried out while one of the authors was at the National Science Foundation. Any opinion, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Stefan Wüller
    • 1
    • 2
    Email author
  • Malte Breuer
    • 1
  • Ulrike Meyer
    • 1
  • Susanne Wetzel
    • 2
  1. 1.RWTH Aachen UniversityAachenGermany
  2. 2.Stevens Institute of TechnologyHobokenUSA

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