{"id":"https://openalex.org/W2992981010","doi":"https://doi.org/10.1109/allerton.2019.8919756","title":"Non-Equilibrium Learning and Cyber-Physical Security","display_name":"Non-Equilibrium Learning and Cyber-Physical Security","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2992981010","doi":"https://doi.org/10.1109/allerton.2019.8919756","mag":"2992981010"},"language":"en","primary_location":{"id":"doi:10.1109/allerton.2019.8919756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2019.8919756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040301558","display_name":"Kyriakos G. Vamvoudakis","orcid":"https://orcid.org/0000-0003-1978-4848"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyriakos G. Vamvoudakis","raw_affiliation_strings":["Georgia Institute of Technology,Daniel Guggenheim Department of Aerospace Engineering,Atlanta,GA,USA,30332","Daniel Guggenheim Department of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,Daniel Guggenheim Department of Aerospace Engineering,Atlanta,GA,USA,30332","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Daniel Guggenheim Department of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058970736","display_name":"Aris Kanellopoulos","orcid":"https://orcid.org/0000-0001-5983-0875"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aris Kanellopoulos","raw_affiliation_strings":["Georgia Institute of Technology,Daniel Guggenheim Department of Aerospace Engineering,Atlanta,GA,USA,30332","Daniel Guggenheim Department of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,Daniel Guggenheim Department of Aerospace Engineering,Atlanta,GA,USA,30332","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Daniel Guggenheim Department of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.1642,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50463273,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7147406339645386},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7108660936355591},{"id":"https://openalex.org/keywords/cyber-physical-system","display_name":"Cyber-physical system","score":0.599160373210907},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5883108377456665},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5116658210754395},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5025856494903564},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.4387175738811493},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.42308998107910156},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.41909992694854736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34186697006225586},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18331190943717957}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7147406339645386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7108660936355591},{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.599160373210907},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5883108377456665},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5116658210754395},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5025856494903564},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.4387175738811493},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.42308998107910156},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.41909992694854736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34186697006225586},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18331190943717957},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/allerton.2019.8919756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2019.8919756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5099999904632568,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W568984285","https://openalex.org/W1513689897","https://openalex.org/W1564229172","https://openalex.org/W1605188341","https://openalex.org/W2012173880","https://openalex.org/W2037031363","https://openalex.org/W2051405851","https://openalex.org/W2051925983","https://openalex.org/W2067603665","https://openalex.org/W2068214642","https://openalex.org/W2120586058","https://openalex.org/W2121863487","https://openalex.org/W2123990969","https://openalex.org/W2157078218","https://openalex.org/W2163569945","https://openalex.org/W2172060758","https://openalex.org/W2264897026","https://openalex.org/W2313875766","https://openalex.org/W2484646121","https://openalex.org/W2564717627","https://openalex.org/W2740197008","https://openalex.org/W2903525376","https://openalex.org/W2917721237","https://openalex.org/W3122810675","https://openalex.org/W3125783706","https://openalex.org/W4211043782","https://openalex.org/W4214717370","https://openalex.org/W4253730333","https://openalex.org/W4302033101","https://openalex.org/W6630666285","https://openalex.org/W6633940122","https://openalex.org/W6741546244"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,47,81,85],"framework":[4],"for":[5,12,72],"non-equilibrium":[6,64],"behavior":[7],"analysis":[8],"in":[9,26,46,101],"cyber-physical":[10],"systems":[11],"security":[13],"purposes.":[14],"To":[15,68],"categorize":[16],"the":[17,21,38,53,70,76,96,102,106,112],"player,":[18],"we":[19,61,79],"employ":[20,80],"principles":[22],"of":[23,33,40,56,75,98,105,114],"reinforcement":[24],"learning":[25],"order":[27],"to":[28],"derive":[29,62],"an":[30,41,92],"iterative":[31],"method":[32],"optimal":[34],"responses":[35],"that":[36,94],"determine":[37],"policy":[39],"agent":[42],"with":[43],"level-k":[44],"intelligence":[45,99],"general":[48],"non-zerosum,":[49],"nonlinear":[50],"environment.":[51],"For":[52],"special":[54],"case":[55],"zero-sum,":[57],"linear":[58],"quadratic":[59],"games":[60],"appropriate":[63],"game":[65],"Riccati":[66],"equations.":[67],"obviate":[69],"need":[71],"complete":[73],"knowledge":[74],"system":[77],"dynamics,":[78],"Q-learning":[82],"algorithm":[83],"as":[84],"best":[86],"response":[87],"solver.":[88],"We":[89],"then":[90],"design":[91],"estimator":[93],"determines":[95],"distribution":[97],"levels":[100],"adversarial":[103],"environment":[104],"system.":[107],"Finally,":[108],"simulation":[109],"results":[110],"showcase":[111],"efficacy":[113],"our":[115],"approach.":[116]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-02T13:48:15.688549","created_date":"2025-10-10T00:00:00"}
