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Lecture notes in computer science

An Optimistic Multi-party Fair Exchange Protocol with Reduced Trust Requirements

Nicolás Gonzaléz-Deleito, Olivier Markowitch

Published Jan 1, 2002• 26 citations
Publisher
DOI
10.1007/3-540-45861-1_20

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A Generic Framework for Accountable Optimistic Fair Exchange Protocol

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Lecture notes in computer science•Jan 1, 2018•1 citation
An exchange protocol is a protocol that allows two or more parties to exchange electronic information. Bao et al. proposed a multi-party fair exchange protocol based on an offline TTP. Participants in this protocol have to trust the initiator of the exchange in addition of the TTP. In this paper we present an improved optimistic multi-party fair exchange protocol in which participants do not have to trust anyone except for the TTP. Moreover, the communication overhead of our protocol is not increased.
Multi-party fair exchange (MFE) and fair secure multi-party computation (fair SMPC) are under-studied fields of research, with practical importance. In particular, we consider MFE scenarios where at the end of the protocol, either every participant receives every other participant’s item, or no participant receives anything. We analyze 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 against the TTP. In the fair SMPC case, we prove that a malicious TTP can only harm fairness, but not security . We construct an asymptotically optimal 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. In our protocol, we enable the parties to efficiently exchange any item that can be efficiently put into a verifiable encryption (e.g., signatures on a contract). We show how to apply this protocol on top of any SMPC protocol to achieve fairness with very little overhead (independent of the circuit size). We then generalize our protocol to efficiently handle any exchange topology (participants exchange items with arbitrary other participants). Our protocol guarantees fairness in its strongest sense: even if all n-1 other participants are malicious and colluding with each other, the fairness is still guaranteed.