{"year":"2018","_id":"66","article_number":"11","scopus_import":"1","project":[{"name":"Efficient Algorithms for Computer Aided Verification","grant_number":"ICT15-003","_id":"25892FC0-B435-11E9-9278-68D0E5697425"},{"grant_number":"279307","name":"Quantitative Graph Games: Theory and Applications","call_identifier":"FP7","_id":"2581B60A-B435-11E9-9278-68D0E5697425"},{"_id":"25832EC2-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","grant_number":"S 11407_N23","name":"Rigorous Systems Engineering"},{"name":"Quantitative Game-theoretic Analysis of Blockchain Applications and Smart Contracts","_id":"266EEEC0-B435-11E9-9278-68D0E5697425"}],"publication_identifier":{"isbn":["978-3-95977-087-3"]},"publist_id":"7988","file":[{"content_type":"application/pdf","file_name":"2018_CONCUR_Chatterjee.pdf","checksum":"68a055b1aaa241cc38375083cf832a7d","relation":"main_file","file_id":"5696","date_created":"2018-12-17T12:08:00Z","creator":"dernst","date_updated":"2020-07-14T12:47:34Z","file_size":1078309,"access_level":"open_access"}],"has_accepted_license":"1","author":[{"first_name":"Krishnendu","full_name":"Chatterjee, Krishnendu","last_name":"Chatterjee","orcid":"0000-0002-4561-241X","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Goharshady","orcid":"0000-0003-1702-6584","full_name":"Goharshady, Amir","first_name":"Amir","id":"391365CE-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Rasmus","last_name":"Ibsen-Jensen","orcid":"0000-0003-4783-0389","full_name":"Ibsen-Jensen, Rasmus","id":"3B699956-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Velner","full_name":"Velner, Yaron","first_name":"Yaron"}],"doi":"10.4230/LIPIcs.CONCUR.2018.11","date_updated":"2024-05-04T22:30:32Z","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","short":"CC BY (4.0)","image":"/images/cc_by.png"},"department":[{"_id":"KrCh"}],"citation":{"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>.","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>.","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.","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>","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>","short":"K. Chatterjee, A.K. Goharshady, R. Ibsen-Jensen, Y. Velner, in:, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2018."},"quality_controlled":"1","day":"01","ec_funded":1,"ddc":["000"],"oa":1,"volume":118,"publication_status":"published","type":"conference","date_published":"2018-09-01T00:00:00Z","publisher":"Schloss Dagstuhl - Leibniz-Zentrum für Informatik","article_processing_charge":"No","abstract":[{"lang":"eng","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."}],"intvolume":"       118","status":"public","file_date_updated":"2020-07-14T12:47:34Z","month":"09","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","alternative_title":["LIPIcs"],"title":"Ergodic mean-payoff games for the analysis of attacks in crypto-currencies","external_id":{"arxiv":["1806.03108"]},"conference":{"name":"CONCUR: Conference on Concurrency Theory","start_date":"2018-09-04","end_date":"2018-09-07","location":"Beijing, China"},"related_material":{"record":[{"status":"public","relation":"dissertation_contains","id":"8934"}]},"oa_version":"Published Version","date_created":"2018-12-11T11:44:27Z","language":[{"iso":"eng"}]}