{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T02:03:12Z","timestamp":1783389792075,"version":"3.54.6"},"reference-count":32,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Griffith Institute and Air Force Research Lab","award":["SA1003202012030"],"award-info":[{"award-number":["SA1003202012030"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Smart Grid"],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1109\/tsg.2022.3199187","type":"journal-article","created":{"date-parts":[[2022,8,17]],"date-time":"2022-08-17T19:35:24Z","timestamp":1660764924000},"page":"1188-1197","source":"Crossref","is-referenced-by-count":16,"title":["A Deep Learning Game Theoretic Model for Defending Against Large Scale Smart Grid Attacks"],"prefix":"10.1109","volume":"14","author":[{"given":"James D.","family":"Cunningham","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7015-7359","authenticated-orcid":false,"given":"Alexander","family":"Aved","sequence":"additional","affiliation":[{"name":"Information Exploitation Division, Air Force Research Laboratory, Rome, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Ferris","sequence":"additional","affiliation":[{"name":"Information Exploitation Division, Air Force Research Laboratory, Rome, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Philip","family":"Morrone","sequence":"additional","affiliation":[{"name":"Information Exploitation Division, Air Force Research Laboratory, Rome, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5365-0240","authenticated-orcid":false,"given":"Conrad S.","family":"Tucker","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering and the Machine Learning, Robotics, Biomedical Engineering Departments, Carnegie Mellon University, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/icSmartGrid48354.2019.8990712"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2017.12.020"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2018.01.015"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2010.2046654"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/srep44499"},{"key":"ref6","volume-title":"Analysis of the cyber attack on the Ukrainian power grid: Defense use case","year":"2016"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCNC.2016.7440711"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2015.2478888"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2873217"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2955857"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2561266"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2021.107113"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2021.107113"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2016.2607701"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICDIS50059.2020.00022"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/nature16961"},{"key":"ref17","article-title":"Mastering chess and shogi by self-play with a general reinforcement learning algorithm","author":"Silver","year":"2017","journal-title":"et al"},{"key":"ref18","article-title":"Dota 2 with large scale deep reinforcement learning","author":"Berner","year":"2019","journal-title":"et al"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-1724-z"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2019.2956161"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2885530"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/S1389-0417(01)00015-8"},{"key":"ref23","first-page":"310","article-title":"A generalized reinforcement-learning model: Convergence and applications","volume-title":"Proc. ICML","volume":"96","author":"Littman"},{"key":"ref24","article-title":"Learning combinatorial optimization algorithms over graphs","author":"Dai","year":"2017","journal-title":"arXiv:1704.01665"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-2112"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2012.2183624"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/PES.2011.6039412"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2014.6848211"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2010.2051168"},{"key":"ref31","article-title":"Deep reinforcement learning from self-play in imperfect-information games","author":"Heinrich","year":"2016","journal-title":"arXiv:1603. 01121"},{"key":"ref32","first-page":"1928","article-title":"Asynchronous methods for deep reinforcement learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Mnih"}],"container-title":["IEEE Transactions on Smart Grid"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165411\/10049220\/09858166.pdf?arnumber=9858166","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T11:54:45Z","timestamp":1706788485000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9858166\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3]]},"references-count":32,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tsg.2022.3199187","relation":{},"ISSN":["1949-3053","1949-3061"],"issn-type":[{"value":"1949-3053","type":"print"},{"value":"1949-3061","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3]]}}}