{"id":"https://openalex.org/W4403447053","doi":"https://doi.org/10.1109/tnsm.2024.3481662","title":"Dynamic Policy Decision/Enforcement Security Zoning Through Stochastic Games and Meta Learning","display_name":"Dynamic Policy Decision/Enforcement Security Zoning Through Stochastic Games and Meta Learning","publication_year":2024,"publication_date":"2024-10-16","ids":{"openalex":"https://openalex.org/W4403447053","doi":"https://doi.org/10.1109/tnsm.2024.3481662"},"language":"en","primary_location":{"id":"doi:10.1109/tnsm.2024.3481662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2024.3481662","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network and Service Management","raw_type":"journal-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/A5032612595","display_name":"Yahuza Bello","orcid":"https://orcid.org/0000-0002-4518-0653"},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yahuza Bello","raw_affiliation_strings":["School of Engineering, University of Guelph, Guelph, ON, Canada","University of Guelph, Guelph, Ontario, Canada"],"raw_orcid":"https://orcid.org/0000-0002-4518-0653","affiliations":[{"raw_affiliation_string":"School of Engineering, University of Guelph, Guelph, ON, Canada","institution_ids":["https://openalex.org/I79817857"]},{"raw_affiliation_string":"University of Guelph, Guelph, Ontario, Canada","institution_ids":["https://openalex.org/I79817857"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055738950","display_name":"Ahmed Refaey","orcid":"https://orcid.org/0000-0002-1540-9349"},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ahmed Refaey Hussein","raw_affiliation_strings":["School of Engineering, University of Guelph, Guelph, ON, Canada","University of Guelph, Guelph, Ontario, Canada"],"raw_orcid":"https://orcid.org/0000-0002-1540-9349","affiliations":[{"raw_affiliation_string":"School of Engineering, University of Guelph, Guelph, ON, Canada","institution_ids":["https://openalex.org/I79817857"]},{"raw_affiliation_string":"University of Guelph, Guelph, Ontario, Canada","institution_ids":["https://openalex.org/I79817857"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I79817857"],"apc_list":null,"apc_paid":null,"fwci":1.4178,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.83098842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"22","issue":"1","first_page":"807","last_page":"821"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.944599986076355,"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"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.944599986076355,"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/T10734","display_name":"Information and Cyber Security","score":0.9139000177383423,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7410222291946411},{"id":"https://openalex.org/keywords/enforcement","display_name":"Enforcement","score":0.6456406712532043},{"id":"https://openalex.org/keywords/zoning","display_name":"Zoning","score":0.5689026117324829},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5213252902030945},{"id":"https://openalex.org/keywords/security-policy","display_name":"Security policy","score":0.49920010566711426},{"id":"https://openalex.org/keywords/policy-learning","display_name":"Policy learning","score":0.49304744601249695},{"id":"https://openalex.org/keywords/law-enforcement","display_name":"Law enforcement","score":0.4370403587818146},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14604142308235168},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.09244206547737122}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7410222291946411},{"id":"https://openalex.org/C2779777834","wikidata":"https://www.wikidata.org/wiki/Q4202277","display_name":"Enforcement","level":2,"score":0.6456406712532043},{"id":"https://openalex.org/C520944541","wikidata":"https://www.wikidata.org/wiki/Q702232","display_name":"Zoning","level":2,"score":0.5689026117324829},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5213252902030945},{"id":"https://openalex.org/C154908896","wikidata":"https://www.wikidata.org/wiki/Q2167404","display_name":"Security policy","level":2,"score":0.49920010566711426},{"id":"https://openalex.org/C2779436431","wikidata":"https://www.wikidata.org/wiki/Q30672407","display_name":"Policy learning","level":2,"score":0.49304744601249695},{"id":"https://openalex.org/C2780262971","wikidata":"https://www.wikidata.org/wiki/Q44554","display_name":"Law enforcement","level":2,"score":0.4370403587818146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14604142308235168},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.09244206547737122},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnsm.2024.3481662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2024.3481662","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network and Service Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W52153049","https://openalex.org/W2062757535","https://openalex.org/W2603959005","https://openalex.org/W2890946036","https://openalex.org/W2923653485","https://openalex.org/W2944046640","https://openalex.org/W2952298682","https://openalex.org/W2985336933","https://openalex.org/W3094027362","https://openalex.org/W3099080616","https://openalex.org/W3100789280","https://openalex.org/W3107852229","https://openalex.org/W3108402236","https://openalex.org/W3108671495","https://openalex.org/W3112379500","https://openalex.org/W3134718517","https://openalex.org/W3157100883","https://openalex.org/W3163842339","https://openalex.org/W3188220908","https://openalex.org/W3200885897","https://openalex.org/W3215544670","https://openalex.org/W4226256448","https://openalex.org/W4237604117","https://openalex.org/W4239900517","https://openalex.org/W4255817895","https://openalex.org/W4285147178","https://openalex.org/W4292348078","https://openalex.org/W4297964528","https://openalex.org/W4376851233","https://openalex.org/W4383503710","https://openalex.org/W4391791538","https://openalex.org/W6736057607","https://openalex.org/W6743661861","https://openalex.org/W6747943641","https://openalex.org/W6759527892","https://openalex.org/W6760181788","https://openalex.org/W6762959442","https://openalex.org/W6780815668","https://openalex.org/W6803550857","https://openalex.org/W6810030924","https://openalex.org/W6811024367","https://openalex.org/W6811229201","https://openalex.org/W6850238769"],"related_works":["https://openalex.org/W3121717315","https://openalex.org/W263325194","https://openalex.org/W4285335834","https://openalex.org/W2205807669","https://openalex.org/W4387007449","https://openalex.org/W4205932328","https://openalex.org/W4206374577","https://openalex.org/W4241357287","https://openalex.org/W4205935056","https://openalex.org/W2473372874"],"abstract_inverted_index":{"Securing":[0],"Next":[1],"Generation":[2],"Networks":[3],"(NGNs)":[4],"remains":[5],"a":[6,50,147,167],"prominent":[7],"topic":[8],"of":[9,21,65,77,150,162,182],"discussion":[10],"in":[11,91],"academia":[12],"and":[13,30,68,80,102,135,173,185],"industries":[14],"alike,":[15],"driven":[16],"by":[17],"the":[18,55,63,75,108,112,132,140,151,156,160,171,179,196],"rapid":[19],"evolution":[20,83],"cyber":[22,89],"attacks.":[23],"As":[24],"these":[25,163,190],"attacks":[26,90],"become":[27],"increasingly":[28],"complex":[29],"dynamic,":[31],"it":[32],"is":[33],"crucial":[34],"to":[35,87,100,130,154,189],"develop":[36],"sophisticated":[37],"security":[38,51],"strategies":[39],"with":[40,117,144,193],"automated":[41],"dynamic":[42,59,104],"policy":[43,60,134],"enforcement.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48,96,110,138,165],"propose":[49],"strategy":[52,82],"based":[53],"on":[54],"zero-trust":[56],"model,":[57,84],"incorporating":[58],"decisions":[61],"through":[62],"utilization":[64],"stochastic":[66],"games":[67],"Reinforcement":[69],"Learning":[70],"(RL).":[71],"Our":[72],"approach":[73],"involves":[74],"development":[76],"an":[78],"attack":[79],"defense":[81],"specifically":[85],"tailored":[86],"combat":[88],"NGNs.":[92],"To":[93,106,158],"achieve":[94],"this,":[95],"employ":[97,139],"RL":[98],"techniques":[99],"update":[101],"adapt":[103],"policies.":[105],"train":[107,155],"agents,":[109],"utilize":[111],"Generalized":[113],"Proximal":[114],"Policy":[115],"Optimization":[116],"sample":[118],"reuse":[119],"(GePPO)":[120],"algorithm,":[121,153],"including":[122],"its":[123],"modified":[124,148],"version,":[125],"GePPO-ML,":[126],"which":[127],"incorporates":[128],"meta-learning":[129,145],"initialize":[131],"agent\u2019s":[133],"parameters.":[136],"Additionally,":[137],"Sample":[141],"Dropout":[142],"PPO":[143,174],"(SDPPO-ML),":[146],"version":[149],"SD-PPO":[152],"agents.":[157],"evaluate":[159],"performance":[161,181],"algorithms,":[164,192],"conduct":[166],"comparative":[168],"analysis":[169],"against":[170],"REINFORCE":[172],"algorithms.":[175],"The":[176],"results":[177],"illustrate":[178],"superior":[180],"both":[183],"GePPO-ML":[184,194],"SDPPO-ML":[186],"when":[187],"compared":[188],"baseline":[191],"exhibiting":[195],"best":[197],"performance.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T08:27:34.040176","created_date":"2025-10-10T00:00:00"}