{"id":"https://openalex.org/W3013001971","doi":"https://doi.org/10.1109/ccnc46108.2020.9045430","title":"Game theoretic approach applied in cybersecurity information exchange framework","display_name":"Game theoretic approach applied in cybersecurity information exchange framework","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3013001971","doi":"https://doi.org/10.1109/ccnc46108.2020.9045430","mag":"3013001971"},"language":"en","primary_location":{"id":"doi:10.1109/ccnc46108.2020.9045430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc46108.2020.9045430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th Annual Consumer Communications &amp; Networking Conference (CCNC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5028419880","display_name":"Ankita Thakkar","orcid":"https://orcid.org/0000-0001-5890-318X"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ankita Thakkar","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Nevada, Reno"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Nevada, Reno","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103008848","display_name":"Shahriar Badsha","orcid":"https://orcid.org/0000-0001-6663-2164"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shahriar Badsha","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Nevada, Reno"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Nevada, Reno","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100748436","display_name":"Shamik Sengupta","orcid":"https://orcid.org/0000-0002-2019-8056"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shamik Sengupta","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Nevada, Reno"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Nevada, Reno","institution_ids":["https://openalex.org/I134113660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I134113660"],"apc_list":null,"apc_paid":null,"fwci":1.3633,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80927504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10734","display_name":"Information and Cyber Security","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10734","display_name":"Information and Cyber Security","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9983999729156494,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7395989894866943},{"id":"https://openalex.org/keywords/stochastic-game","display_name":"Stochastic game","score":0.6904178261756897},{"id":"https://openalex.org/keywords/bayesian-game","display_name":"Bayesian game","score":0.6142920851707458},{"id":"https://openalex.org/keywords/situation-awareness","display_name":"Situation awareness","score":0.6029247045516968},{"id":"https://openalex.org/keywords/best-response","display_name":"Best response","score":0.5967046618461609},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.549162745475769},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.5390026569366455},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.5172484517097473},{"id":"https://openalex.org/keywords/complete-information","display_name":"Complete information","score":0.4978780746459961},{"id":"https://openalex.org/keywords/strategy","display_name":"Strategy","score":0.47263142466545105},{"id":"https://openalex.org/keywords/information-exchange","display_name":"Information exchange","score":0.4343172013759613},{"id":"https://openalex.org/keywords/situational-ethics","display_name":"Situational ethics","score":0.4140850901603699},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4115052819252014},{"id":"https://openalex.org/keywords/repeated-game","display_name":"Repeated game","score":0.2685971260070801},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2412920594215393},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.14354830980300903},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1103493869304657}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7395989894866943},{"id":"https://openalex.org/C22171661","wikidata":"https://www.wikidata.org/wiki/Q1074380","display_name":"Stochastic game","level":2,"score":0.6904178261756897},{"id":"https://openalex.org/C200594392","wikidata":"https://www.wikidata.org/wiki/Q812529","display_name":"Bayesian game","level":4,"score":0.6142920851707458},{"id":"https://openalex.org/C145804949","wikidata":"https://www.wikidata.org/wiki/Q478123","display_name":"Situation awareness","level":2,"score":0.6029247045516968},{"id":"https://openalex.org/C32407928","wikidata":"https://www.wikidata.org/wiki/Q2733833","display_name":"Best response","level":3,"score":0.5967046618461609},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.549162745475769},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.5390026569366455},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.5172484517097473},{"id":"https://openalex.org/C113336015","wikidata":"https://www.wikidata.org/wiki/Q574010","display_name":"Complete information","level":2,"score":0.4978780746459961},{"id":"https://openalex.org/C88959737","wikidata":"https://www.wikidata.org/wiki/Q1546627","display_name":"Strategy","level":3,"score":0.47263142466545105},{"id":"https://openalex.org/C189693848","wikidata":"https://www.wikidata.org/wiki/Q6031064","display_name":"Information exchange","level":2,"score":0.4343172013759613},{"id":"https://openalex.org/C9114305","wikidata":"https://www.wikidata.org/wiki/Q1428317","display_name":"Situational ethics","level":2,"score":0.4140850901603699},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4115052819252014},{"id":"https://openalex.org/C202556891","wikidata":"https://www.wikidata.org/wiki/Q1584646","display_name":"Repeated game","level":3,"score":0.2685971260070801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2412920594215393},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.14354830980300903},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1103493869304657},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccnc46108.2020.9045430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc46108.2020.9045430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th Annual Consumer Communications &amp; Networking Conference (CCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1415990210","https://openalex.org/W1538408040","https://openalex.org/W1771504935","https://openalex.org/W2028200039","https://openalex.org/W2107642822","https://openalex.org/W2119331832","https://openalex.org/W2167225252","https://openalex.org/W2244896878","https://openalex.org/W2473503942","https://openalex.org/W2527113903","https://openalex.org/W2555676925","https://openalex.org/W2735032239","https://openalex.org/W2737049222","https://openalex.org/W2757072265","https://openalex.org/W2759577011","https://openalex.org/W2772966488","https://openalex.org/W2789514799","https://openalex.org/W2804802294","https://openalex.org/W2919221886","https://openalex.org/W2922269401","https://openalex.org/W2922507528","https://openalex.org/W6628371068","https://openalex.org/W6744345100"],"related_works":["https://openalex.org/W2365698029","https://openalex.org/W2121339923","https://openalex.org/W4301866102","https://openalex.org/W2494067724","https://openalex.org/W4232850892","https://openalex.org/W3125076262","https://openalex.org/W2070003395","https://openalex.org/W3121473434","https://openalex.org/W1483025979","https://openalex.org/W3127939003"],"abstract_inverted_index":{"In":[0],"CYBersecurity":[1],"information":[2,66,78],"EXchange":[3],"(CYBEX)":[4],"framework,":[5,36],"Cyber":[6],"Threat":[7],"Intelligence":[8],"(CTI)":[9],"is":[10,24,139],"shared":[11,45],"among":[12],"multiple":[13],"organizations":[14,29,48,110,158,190],"with":[15,31,105,144,175],"a":[16,25],"view":[17],"of":[18,41,123,153,186],"creating":[19],"situational":[20],"awareness.":[21],"But":[22],"there":[23],"possibility":[26],"that":[27,69,127],"malicious":[28,56,109,160,194],"coexist":[30],"regular":[32,107,157,189],"ones":[33],"in":[34,180],"this":[35],"which":[37,106,145,176],"can":[38,50,111,147,178],"get":[39],"hold":[40],"the":[42,60,77,84,97,101,119,135,140,151,165,184,193],"threat":[43],"data":[44],"by":[46],"other":[47],"and":[49,90,108,156,171,188],"use":[51],"it":[52,75],"for":[53,79],"carrying":[54],"out":[55],"activities.":[57],"We":[58,82,95,162],"formulate":[59],"aforementioned":[61],"problem":[62],"as":[63],"an":[64],"incomplete":[65],"game":[67,98],"assuming":[68],"whenever":[70],"CYBEX":[71,146,155,177],"receives":[72],"any":[73],"information,":[74],"processes":[76],"anomaly":[80,130,172],"detection.":[81],"find":[83,100,164],"mixed":[85],"strategy":[86,143],"Nash":[87],"equilibrium":[88],"probabilities":[89],"corresponding":[91],"Bayesian":[92],"belief":[93],"updates.":[94],"simulate":[96],"to":[99,113,149,182],"best":[102,120,141],"response":[103,121],"strategies":[104,122],"play":[112,148,179],"increase":[114,150],"their":[115],"payoffs.":[116],"Based":[117],"on":[118],"organizations,":[124],"we":[125],"analyze":[126],"achieving":[128],"more":[129],"detection":[131,173],"rate":[132,137,170,174],"while":[133],"keeping":[134],"processing":[136,169],"minimum":[138,168],"action":[142],"gain":[152],"both":[154],"over":[159],"organizations.":[161],"also":[163],"approximate":[166],"average":[167],"order":[181],"maintain":[183],"payoff":[185],"itself":[187],"higher":[191],"than":[192],"ones.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
