{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T11:25:54Z","timestamp":1764588354915,"version":"3.37.3"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,27]],"date-time":"2022-07-27T00:00:00Z","timestamp":1658880000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,27]],"date-time":"2022-07-27T00:00:00Z","timestamp":1658880000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,27]]},"DOI":"10.1109\/csr54599.2022.9850343","type":"proceedings-article","created":{"date-parts":[[2022,8,16]],"date-time":"2022-08-16T19:35:46Z","timestamp":1660678546000},"page":"16-21","source":"Crossref","is-referenced-by-count":2,"title":["LSTM-Based Anomalous Behavior Detection in Multi-Agent Reinforcement Learning"],"prefix":"10.1109","author":[{"given":"Cameron","family":"Lischke","sequence":"first","affiliation":[{"name":"John Hopkins University,Computer Science Department,Baltimore,MD,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tongtong","family":"Liu","sequence":"additional","affiliation":[{"name":"Wake Forest University,Computer Science Department,Winston-Salem,NC,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joe","family":"McCalmon","sequence":"additional","affiliation":[{"name":"Wake Forest University,Computer Science Department,Winston-Salem,NC,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Md Asifur","family":"Rahman","sequence":"additional","affiliation":[{"name":"Wake Forest University,Computer Science Department,Winston-Salem,NC,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Talal","family":"Halabi","sequence":"additional","affiliation":[{"name":"University of Winnipeg,Applied Computer Science,Winnipeg,MB,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sarra","family":"Alqahtani","sequence":"additional","affiliation":[{"name":"Wake Forest University,Computer Science Department,Winston-Salem,NC,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Adversarial policies: Attacking deep reinforcement learning","author":"gleave","year":"2019","journal-title":"arXiv preprint arXiv 1905 10520"},{"key":"ref11","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"2014","journal-title":"arXiv preprint arXiv 1412 6572"},{"key":"ref12","article-title":"Mitigating adversarial effects through randomization","author":"xie","year":"2017","journal-title":"arXiv preprint arXiv 1711 01567"},{"key":"ref13","article-title":"On detecting adversarial perturbations","author":"metzen","year":"2017","journal-title":"arXiv preprint arXiv 1702 04710"},{"key":"ref14","article-title":"LSTM networks for detection and classification of anomalies in raw sensor data","author":"verner","year":"2019","journal-title":"PhD thesis"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2513456.2513490"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2863036"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref18","first-page":"282","article-title":"Robust anomaly detection using support vector machines","author":"hu","year":"2003","journal-title":"Proceedings of the International Conference on Machine Learning"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.5120\/7470-0475"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/BF02834632"},{"key":"ref4","article-title":"Adversarial attacks on neural network policies","volume":"abs 1702 2284","author":"huang","year":"2017","journal-title":"CoRR"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.39.10.1953"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2019.2938107"},{"key":"ref6","article-title":"Long short term memory networks for anomaly detection in time series","author":"malhotra","year":"2015","journal-title":"European Symposium on Artificial Neural Networks Computational Intelligence and Machine Learning"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/SPW50608.2020.00027"},{"key":"ref8","first-page":"4295","article-title":"Qmix: Monotonic value function factorisation for deep multi-agent reinforcement learning","author":"rashid","year":"2018","journal-title":"International Conference on Machine Learning"},{"key":"ref7","article-title":"Multi-agent actor-critic for mixed cooperative-competitive environments","volume":"30","author":"lowe","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref2","article-title":"Coordination-driven learning in multi-agent problem spaces","volume":"abs 1809 4918","author":"barton","year":"2018","journal-title":"CoRR"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2016.2598476"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1186\/s42400-019-0027-x"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.4018\/ijehmc.2014010102"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-4048(02)00514-X"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1967.1053964"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICNSC.2018.8361343"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.iot.2019.100059"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ARES.2006.7"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICODSE.2017.8285847"}],"event":{"name":"2022 IEEE International Conference on Cyber Security and Resilience (CSR)","start":{"date-parts":[[2022,7,27]]},"location":"Rhodes, Greece","end":{"date-parts":[[2022,7,29]]}},"container-title":["2022 IEEE International Conference on Cyber Security and Resilience (CSR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9850275\/9850277\/09850343.pdf?arnumber=9850343","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,5]],"date-time":"2022-09-05T20:22:55Z","timestamp":1662409375000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9850343\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,27]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/csr54599.2022.9850343","relation":{},"subject":[],"published":{"date-parts":[[2022,7,27]]}}}