{"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","short":"CC BY (4.0)","image":"/images/cc_by.png"},"type":"conference","citation":{"mla":"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.","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. https://doi.org/10.4230/LIPIcs.CONCUR.2018.11.","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.","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:10.4230/LIPIcs.CONCUR.2018.11","apa":"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","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."},"publication_status":"published","related_material":{"record":[{"id":"8934","relation":"dissertation_contains","status":"public"}]},"ec_funded":1,"file_date_updated":"2020-07-14T12:47:34Z","department":[{"_id":"KrCh"}],"conference":{"name":"CONCUR: Conference on Concurrency Theory","start_date":"2018-09-04","end_date":"2018-09-07","location":"Beijing, China"},"publist_id":"7988","project":[{"_id":"25892FC0-B435-11E9-9278-68D0E5697425","name":"Efficient Algorithms for Computer Aided Verification","grant_number":"ICT15-003"},{"call_identifier":"FP7","_id":"2581B60A-B435-11E9-9278-68D0E5697425","grant_number":"279307","name":"Quantitative Graph Games: Theory and Applications"},{"call_identifier":"FWF","_id":"25832EC2-B435-11E9-9278-68D0E5697425","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"}],"day":"01","has_accepted_license":"1","year":"2018","status":"public","language":[{"iso":"eng"}],"article_number":"11","publisher":"Schloss Dagstuhl - Leibniz-Zentrum für Informatik","author":[{"full_name":"Chatterjee, Krishnendu","last_name":"Chatterjee","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87","first_name":"Krishnendu","orcid":"0000-0002-4561-241X"},{"full_name":"Goharshady, Amir","last_name":"Goharshady","id":"391365CE-F248-11E8-B48F-1D18A9856A87","first_name":"Amir","orcid":"0000-0003-1702-6584"},{"id":"3B699956-F248-11E8-B48F-1D18A9856A87","full_name":"Ibsen-Jensen, Rasmus","last_name":"Ibsen-Jensen","orcid":"0000-0003-4783-0389","first_name":"Rasmus"},{"full_name":"Velner, Yaron","last_name":"Velner","first_name":"Yaron"}],"article_processing_charge":"No","doi":"10.4230/LIPIcs.CONCUR.2018.11","file":[{"date_created":"2018-12-17T12:08:00Z","creator":"dernst","file_name":"2018_CONCUR_Chatterjee.pdf","access_level":"open_access","relation":"main_file","checksum":"68a055b1aaa241cc38375083cf832a7d","content_type":"application/pdf","file_id":"5696","file_size":1078309,"date_updated":"2020-07-14T12:47:34Z"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"66","publication_identifier":{"isbn":["978-3-95977-087-3"]},"date_published":"2018-09-01T00:00:00Z","quality_controlled":"1","alternative_title":["LIPIcs"],"volume":118,"external_id":{"arxiv":["1806.03108"]},"scopus_import":"1","date_updated":"2021-01-12T12:00:54Z","title":"Ergodic mean-payoff games for the analysis of attacks in crypto-currencies","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"}],"oa_version":"Published Version","ddc":["000"],"oa":1,"date_created":"2018-12-11T11:44:27Z","month":"09"}