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Secure Computation with Non-Equivalent Penalties in Constant Rounds

Authors Takeshi Nakai , Kazumasa Shinagawa

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Author Details

Takeshi Nakai
  • The University of Electro-Communications, Tokyo, Japan
Kazumasa Shinagawa
  • Ibaraki University, Ibaraki, Japan
  • National Institute of Advanced Industrial Science and Technology, Tokyo, Japan

Funding

This work was partially supported by JSPS KAKENHI Grant Numbers JP20J21248 and JP21K17702.

Cite As Get BibTex

Takeshi Nakai and Kazumasa Shinagawa. Secure Computation with Non-Equivalent Penalties in Constant Rounds. In 3rd International Conference on Blockchain Economics, Security and Protocols (Tokenomics 2021). Open Access Series in Informatics (OASIcs), Volume 97, pp. 5:1-5:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022) https://doi.org/10.4230/OASIcs.Tokenomics.2021.5

Abstract

It is known that Bitcoin enables to achieve fairness in secure computation by imposing a monetary penalty on adversarial parties. This functionality is called secure computation with penalties. Bentov and Kumaresan (Crypto 2014) showed that it could be realized with O(n) rounds and O(n) broadcasts for any function, where n is the number of parties. Kumaresan and Bentov (CCS 2014) posed an open question: "Is it possible to design secure computation with penalties that needs only O(1) rounds and O(n) broadcasts?" In this work, we introduce secure computation with non-equivalent penalties, and design a protocol achieving this functionality with O(1) rounds and O(n) broadcasts only. The new functionality is the same as secure computation with penalties except that every honest party receives more than a predetermined amount of compensation while the previous one requires that every honest party receives the same amount of compensation. In particular, both are the same if all parties behave honestly. Thus, our result gives a partial answer to the open problem with a slight and natural modification of functionality.

Subject Classification

ACM Subject Classification
  • Security and privacy → Cryptography
Keywords
  • Secure computation
  • Fairness
  • Bitcoin

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