Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. Optimally Efficient Multi-Party Fair Exchange and Fair Secure Multi-Party Computation
 
conference paper

Optimally Efficient Multi-Party Fair Exchange and Fair Secure Multi-Party Computation

Kilinç, Handan  
•
Küpçü, Alptekin
Nyberg, Kaisa
2015
Lecture Notes in Computer Science
CT-RSA

Multi-party fair exchange (MFE) and fair secure multi-party computation (fair SMPC) are under-studied fields of research, with practical importance. We examine MFE scenarios where every participant has some item, and at the end of the protocol, either every participant receives every other participant’s item, or no participant receives anything. This is a particularly hard scenario, even though it is directly applicable to protocols such as fair SMPC or multi-party contract signing. We further generalize our protocol to work for any exchange topology. We analyse the case where a trusted third party (TTP) is optimistically available, although we emphasize that the trust put on the TTP is only regarding the fairness, and our protocols preserve the privacy of the exchanged items even against a malicious TTP. We construct an asymptotically optimal (for the complete topology) multi-party fair exchange protocol that requires a constant number of rounds, in comparison to linear, and O(n^2) messages, in comparison to cubic, where n is the number of participating parties. We enable the parties to efficiently exchange any item that can be efficiently put into a verifiable escrow (e.g., signatures on a contract). We show how to apply this protocol on top of any SMPC protocol to achieve a fairness guarantee with very little overhead, especially if the SMPC protocol works with arithmetic circuits. Our protocol guarantees fairness in its strongest sense: even if all n−1 other participants are malicious and colluding, fairness will hold.

  • Files
  • Details
  • Metrics
Type
conference paper
DOI
10.1007/978-3-319-16715-2_18
Author(s)
Kilinç, Handan  
Küpçü, Alptekin
Editors
Nyberg, Kaisa
Date Issued

2015

Publisher

Springer International Publishing

Published in
Lecture Notes in Computer Science
ISBN of the book

978-3-319-16715-2

Volume

9048

Start page

330

End page

349

Subjects

multi-party fair exchange

•

fair computation

•

optimistic model

•

secure multi-party computation

•

electronic payments

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
LASEC  
Event nameEvent placeEvent date
CT-RSA

San Francisco

April 20-24, 2015

Available on Infoscience
February 29, 2016
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/124452
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés