{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T04:20:58Z","timestamp":1769746858534,"version":"3.49.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,9,2]],"date-time":"2024-09-02T00:00:00Z","timestamp":1725235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,2]],"date-time":"2024-09-02T00:00:00Z","timestamp":1725235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,9,2]]},"DOI":"10.1109\/iotsms62296.2024.10710208","type":"proceedings-article","created":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T17:22:50Z","timestamp":1728926570000},"page":"11-18","source":"Crossref","is-referenced-by-count":3,"title":["CYBERSHIELD: A Competitive Simulation Environment for Training AI in Cybersecurity"],"prefix":"10.1109","author":[{"given":"Jos\u00e9 \u00c1lvaro Fern\u00e1ndez","family":"Carrasco","sequence":"first","affiliation":[{"name":"Vicomtech, Basque Research and Technology Alliance (BRTA) Donostia,San Sebastian,Spain,20009"}]},{"given":"I\u00f1igo Amonarriz","family":"Pagola","sequence":"additional","affiliation":[{"name":"Vicomtech, Basque Research and Technology Alliance (BRTA) Donostia,San Sebastian,Spain,20009"}]},{"given":"Ra\u00fal Orduna","family":"Urrutia","sequence":"additional","affiliation":[{"name":"Vicomtech, Basque Research and Technology Alliance (BRTA) Donostia,San Sebastian,Spain,20009"}]},{"given":"Rodrigo","family":"Rom\u00e1n","sequence":"additional","affiliation":[{"name":"University of Malaga,Network Information and Computer Security Lab,Malaga,Spain,29071"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Cyberbattlesim","author":"Team","year":"2021"},{"key":"ref2","first-page":"072022","article-title":"Developing optimal causal cyber-defence agents via cyber security simulation","volume-title":"Workshop on Machine Learning for Cybersecurity (ML4Cyber","author":"Andrew"},{"key":"ref3","article-title":"Nasim: Network attack simulator","author":"Schwartz","year":"2019"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/NOMS47738.2020.9110426"},{"key":"ref5","article-title":"General data protection regulation (gdpr)","year":"2018"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3121870"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1631\/fitee.1800573"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-93733-1_4"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/FNWF55208.2022.00114"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"273295","DOI":"10.1016\/j.arcontrol.2022.01.001","article-title":"Reinforcement learning for feedbackenabled cyber resilience","volume":"53","author":"Huang","year":"2022","journal-title":"Annual reviews in control"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MSN50589.2020.00086"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/eurospw51379.2020.00010"},{"key":"ref13","article-title":"Brawl","year":"2018"},{"key":"ref14","article-title":"Csle","year":"2024"},{"key":"ref15","article-title":"Behaviour-diverse automatic penetration testing: A curiosity-driven multi-objective deep reinforcement learning approach","author":"Yang","year":"2022"},{"key":"ref16","article-title":"Cyborg: A gym for the development of autonomous cyber agents","author":"Standen","year":"2021","journal-title":"arXiv preprint arXiv:2108.09118"},{"key":"ref17","first-page":"364","article-title":": An adaptive reinforcement learning strategy for the security game","volume-title":"International Conference on Decision and Game Theory for Security","author":"Oakley"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.23919\/CNSM50824.2020.9269092"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2808475.2808482"},{"key":"ref20","article-title":"Mab-malware: A reinforcement learning framework for attacking static malware classifiers","author":"Song","year":"2021"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-54129-2_35"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.5220\/0012367300003648"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2022.3176781"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-335-6.50027-1"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1017\/9781009002127.013"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2982955"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2963791"},{"issue":"1","key":"ref28","first-page":"80","article-title":"Intelligence-driven computer network defense informed by analysis of adversary campaigns and intrusion kill chains","volume":"1","author":"Hutchins","year":"2011","journal-title":"Leading Issues in Information Warfare & Security Research"}],"event":{"name":"2024 11th International Conference on Internet of Things: Systems, Management and Security (IOTSMS)","location":"Malm\u00f6, Sweden","start":{"date-parts":[[2024,9,2]]},"end":{"date-parts":[[2024,9,5]]}},"container-title":["2024 11th International Conference on Internet of Things: Systems, Management and Security (IOTSMS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10710136\/10710182\/10710208.pdf?arnumber=10710208","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,15]],"date-time":"2024-10-15T04:56:41Z","timestamp":1728968201000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10710208\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,2]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/iotsms62296.2024.10710208","relation":{},"subject":[],"published":{"date-parts":[[2024,9,2]]}}}