{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T14:12:43Z","timestamp":1758809563236,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,8,23]],"date-time":"2022-08-23T00:00:00Z","timestamp":1661212800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100004489","name":"Mitacs","doi-asserted-by":"publisher","award":["IT25652"],"award-info":[{"award-number":["IT25652"]}],"id":[{"id":"10.13039\/501100004489","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,8,23]]},"DOI":"10.1145\/3538969.3543789","type":"proceedings-article","created":{"date-parts":[[2022,8,17]],"date-time":"2022-08-17T23:41:40Z","timestamp":1660779700000},"page":"1-11","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Deep Reinforcement Learning-Based Defense Strategy Selection"],"prefix":"10.1145","author":[{"given":"Axel","family":"Charpentier","sequence":"first","affiliation":[{"name":"Polytechnique Montr\u00e9al, Canada and IRT SystemX, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nora","family":"Boulahia Cuppens","sequence":"additional","affiliation":[{"name":"Polytechnique Montr\u00e9al, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fr\u00e9d\u00e9ric","family":"Cuppens","sequence":"additional","affiliation":[{"name":"Polytechnique Montr\u00e9al, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Reda","family":"Yaich","sequence":"additional","affiliation":[{"name":"IRT SystemX, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,8,23]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICNC47757.2020.9049764"},{"key":"e_1_3_2_1_2_1","unstructured":"Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang and Wojciech Zaremba. 2016. Openai gym. arXiv preprint arXiv:1606.01540(2016)."},{"key":"e_1_3_2_1_3_1","unstructured":"CAPEC. 2022. Common Attack Pattern Enumeration and Classification (CAPEC). https:\/\/capec.mitre.org\/"},{"key":"e_1_3_2_1_4_1","volume-title":"International conference on decision and game theory for security. Springer, 18\u201338","author":"\u00c7eker Hayreddin","year":"2016","unstructured":"Hayreddin \u00c7eker, Jun Zhuang, Shambhu Upadhyaya, Quang\u00a0Duy La, and Boon-Hee Soong. 2016. Deception-based game theoretical approach to mitigate DoS attacks. In International conference on decision and game theory for security. Springer, 18\u201338."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/DSC50466.2020.00065"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2963791"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-25594-1_1"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-34266-0_10"},{"key":"e_1_3_2_1_9_1","unstructured":"CVE. 2022. Common Vulnerabilities and Exposures (CVE). https:\/\/cve.mitre.org\/"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-64793-3_4"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-68711-7_17"},{"key":"e_1_3_2_1_12_1","unstructured":"Daniel Fraunholz Simon\u00a0Duque Anton Christoph Lipps Daniel Reti Daniel Krohmer Frederic Pohl Matthias Tammen and Hans\u00a0Dieter Schotten. 2018. Demystifying deception technology: A survey. arXiv preprint arXiv:1804.06196(2018)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3214305"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-68711-7_15"},{"key":"e_1_3_2_1_15_1","first-page":"4157","article-title":"SOCMTD: selecting optimal countermeasure for moving target defense using dynamic game","volume":"14","author":"Hu Hao","year":"2020","unstructured":"Hao Hu, Jing Liu, Jinglei Tan, and Jiang Liu. 2020. SOCMTD: selecting optimal countermeasure for moving target defense using dynamic game. KSII Transactions on Internet and Information Systems (TIIS) 14, 10(2020), 4157\u20134175.","journal-title":"KSII Transactions on Internet and Information Systems (TIIS)"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCN.2013.6614155"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2016.2547994"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2633983"},{"key":"e_1_3_2_1_19_1","unstructured":"Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra and Martin Riedmiller. 2013. Playing atari with deep reinforcement learning. arXiv preprint arXiv:1312.5602(2013)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3337772"},{"key":"e_1_3_2_1_21_1","unstructured":"Jeffrey Pawlick and Quanyan Zhu. 2015. Deception by design: evidence-based signaling games for network defense. arXiv preprint arXiv:1503.05458(2015)."},{"key":"e_1_3_2_1_22_1","unstructured":"Eric Peter and Todd Schiller. 2011. A practical guide to honeypots. Washington Univerity(2011)."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/2808475.2808483"},{"key":"e_1_3_2_1_24_1","first-page":"1","article-title":"Stable-Baselines3: Reliable Reinforcement Learning Implementations","volume":"22","author":"Raffin Antonin","year":"2021","unstructured":"Antonin Raffin, Ashley Hill, Adam Gleave, Anssi Kanervisto, Maximilian Ernestus, and Noah Dormann. 2021. Stable-Baselines3: Reliable Reinforcement Learning Implementations. Journal of Machine Learning Research 22, 268 (2021), 1\u20138. http:\/\/jmlr.org\/papers\/v22\/20-1364.html","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CNS.2013.6682694"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2982955"},{"key":"e_1_3_2_1_27_1","unstructured":"Sailik Sengupta and Subbarao Kambhampati. 2020. Multi-agent reinforcement learning in bayesian stackelberg markov games for adaptive moving target defense. arXiv preprint arXiv:2007.10457(2020)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"Jing-lei Tan Cheng Lei Hong-qi Zhang and Yu-qiao Cheng. 2019. Optimal strategy selection approach to moving target defense based on Markov robust game. computers & security 85(2019) 63\u201376.","DOI":"10.1016\/j.cose.2019.04.013"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2974786"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2918319"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2020.06553"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-019-1906-z"}],"event":{"name":"ARES 2022: The 17th International Conference on Availability, Reliability and Security","acronym":"ARES 2022","location":"Vienna Austria"},"container-title":["Proceedings of the 17th International Conference on Availability, Reliability and Security"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3538969.3543789","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3538969.3543789","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:09:41Z","timestamp":1750183781000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3538969.3543789"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,23]]},"references-count":32,"alternative-id":["10.1145\/3538969.3543789","10.1145\/3538969"],"URL":"https:\/\/doi.org\/10.1145\/3538969.3543789","relation":{},"subject":[],"published":{"date-parts":[[2022,8,23]]},"assertion":[{"value":"2022-08-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}