[{"type":"conference","date_updated":"2025-06-02T08:53:46Z","_id":"66","publisher":"Schloss Dagstuhl - Leibniz-Zentrum für Informatik","doi":"10.4230/LIPIcs.CONCUR.2018.11","article_processing_charge":"No","alternative_title":["LIPIcs"],"quality_controlled":"1","ddc":["000"],"publist_id":"7988","external_id":{"arxiv":["1806.03108"]},"related_material":{"record":[{"id":"8934","relation":"dissertation_contains","status":"public"}]},"year":"2018","conference":{"start_date":"2018-09-04","end_date":"2018-09-07","name":"CONCUR: Conference on Concurrency Theory","location":"Beijing, China"},"date_published":"2018-09-01T00:00:00Z","ec_funded":1,"project":[{"name":"Efficient Algorithms for Computer Aided Verification","grant_number":"ICT15-003","_id":"25892FC0-B435-11E9-9278-68D0E5697425"},{"_id":"2581B60A-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","grant_number":"279307","name":"Quantitative Graph Games: Theory and Applications"},{"_id":"25832EC2-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","name":"Rigorous Systems Engineering","grant_number":"S 11407_N23"},{"name":"Quantitative Game-theoretic Analysis of Blockchain Applications and Smart Contracts","_id":"266EEEC0-B435-11E9-9278-68D0E5697425"}],"status":"public","date_created":"2018-12-11T11:44:27Z","volume":118,"oa_version":"Published Version","title":"Ergodic mean-payoff games for the analysis of attacks in crypto-currencies","author":[{"id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87","full_name":"Chatterjee, Krishnendu","last_name":"Chatterjee","first_name":"Krishnendu","orcid":"0000-0002-4561-241X"},{"last_name":"Goharshady","id":"391365CE-F248-11E8-B48F-1D18A9856A87","full_name":"Goharshady, Amir","first_name":"Amir","orcid":"0000-0003-1702-6584"},{"id":"3B699956-F248-11E8-B48F-1D18A9856A87","full_name":"Ibsen-Jensen, Rasmus","last_name":"Ibsen-Jensen","first_name":"Rasmus","orcid":"0000-0003-4783-0389"},{"full_name":"Velner, Yaron","last_name":"Velner","first_name":"Yaron"}],"scopus_import":"1","day":"01","publication_identifier":{"isbn":["978-3-95977-087-3"]},"publication_status":"published","file_date_updated":"2020-07-14T12:47:34Z","intvolume":"       118","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","short":"CC BY (4.0)"},"abstract":[{"text":"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.","lang":"eng"}],"has_accepted_license":"1","article_number":"11","file":[{"file_id":"5696","file_size":1078309,"date_created":"2018-12-17T12:08:00Z","date_updated":"2020-07-14T12:47:34Z","creator":"dernst","relation":"main_file","checksum":"68a055b1aaa241cc38375083cf832a7d","file_name":"2018_CONCUR_Chatterjee.pdf","content_type":"application/pdf","access_level":"open_access"}],"department":[{"_id":"KrCh"}],"month":"09","arxiv":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","citation":{"ama":"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:<a href=\"https://doi.org/10.4230/LIPIcs.CONCUR.2018.11\">10.4230/LIPIcs.CONCUR.2018.11</a>","ieee":"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.","short":"K. Chatterjee, A.K. Goharshady, R. Ibsen-Jensen, Y. Velner, in:, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2018.","ista":"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.","chicago":"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. <a href=\"https://doi.org/10.4230/LIPIcs.CONCUR.2018.11\">https://doi.org/10.4230/LIPIcs.CONCUR.2018.11</a>.","apa":"Chatterjee, K., Goharshady, A. K., Ibsen-Jensen, R., &#38; 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. <a href=\"https://doi.org/10.4230/LIPIcs.CONCUR.2018.11\">https://doi.org/10.4230/LIPIcs.CONCUR.2018.11</a>","mla":"Chatterjee, Krishnendu, et al. <i>Ergodic Mean-Payoff Games for the Analysis of Attacks in Crypto-Currencies</i>. Vol. 118, 11, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2018, doi:<a href=\"https://doi.org/10.4230/LIPIcs.CONCUR.2018.11\">10.4230/LIPIcs.CONCUR.2018.11</a>."},"language":[{"iso":"eng"}],"oa":1}]