Ergodic mean-payoff games for the analysis of attacks in crypto-currencies

Chatterjee K, Goharshady AK, Ibsen-Jensen R, Velner Y. 2018. Ergodic mean-payoff games for the analysis of attacks in crypto-currencies. CONCUR: Conference on Concurrency Theory, LIPIcs, vol. 118, 11.

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Department
Series Title
LIPIcs
Abstract
Crypto-currencies are digital assets designed to work as a medium of exchange, e.g., Bitcoin, but they are susceptible to attacks (dishonest behavior of participants). A framework for the analysis of attacks in crypto-currencies requires (a) modeling of game-theoretic aspects to analyze incentives for deviation from honest behavior; (b) concurrent interactions between participants; and (c) analysis of long-term monetary gains. Traditional game-theoretic approaches for the analysis of security protocols consider either qualitative temporal properties such as safety and termination, or the very special class of one-shot (stateless) games. However, to analyze general attacks on protocols for crypto-currencies, both stateful analysis and quantitative objectives are necessary. In this work our main contributions are as follows: (a) we show how a class of concurrent mean-payo games, namely ergodic games, can model various attacks that arise naturally in crypto-currencies; (b) we present the first practical implementation of algorithms for ergodic games that scales to model realistic problems for crypto-currencies; and (c) we present experimental results showing that our framework can handle games with thousands of states and millions of transitions.
Publishing Year
Date Published
2018-09-01
Volume
118
Article Number
11
Conference
CONCUR: Conference on Concurrency Theory
Conference Location
Beijing, China
Conference Date
2018-09-04 – 2018-09-07
IST-REx-ID
66

Cite this

Chatterjee K, Goharshady AK, Ibsen-Jensen R, Velner Y. Ergodic mean-payoff games for the analysis of attacks in crypto-currencies. In: Vol 118. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2018. doi:10.4230/LIPIcs.CONCUR.2018.11
Chatterjee, K., Goharshady, A. K., Ibsen-Jensen, R., & Velner, Y. (2018). Ergodic mean-payoff games for the analysis of attacks in crypto-currencies (Vol. 118). Presented at the CONCUR: Conference on Concurrency Theory, Beijing, China: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.CONCUR.2018.11
Chatterjee, Krishnendu, Amir Kafshdar Goharshady, Rasmus Ibsen-Jensen, and Yaron Velner. “Ergodic Mean-Payoff Games for the Analysis of Attacks in Crypto-Currencies,” Vol. 118. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2018. https://doi.org/10.4230/LIPIcs.CONCUR.2018.11.
K. Chatterjee, A. K. Goharshady, R. Ibsen-Jensen, and Y. Velner, “Ergodic mean-payoff games for the analysis of attacks in crypto-currencies,” presented at the CONCUR: Conference on Concurrency Theory, Beijing, China, 2018, vol. 118.
Chatterjee K, Goharshady AK, Ibsen-Jensen R, Velner Y. 2018. Ergodic mean-payoff games for the analysis of attacks in crypto-currencies. CONCUR: Conference on Concurrency Theory, LIPIcs, vol. 118, 11.
Chatterjee, Krishnendu, et al. Ergodic Mean-Payoff Games for the Analysis of Attacks in Crypto-Currencies. Vol. 118, 11, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2018, doi:10.4230/LIPIcs.CONCUR.2018.11.
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2018-12-17
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