{"id":"https://openalex.org/W4413018024","doi":"https://doi.org/10.1109/medcomnet65822.2025.11103529","title":"LB-MDP-CL: A Reinforcement Learning and Co-Evolutionary Approach for Optimizing Responses in Multi-Step Cyberattacks","display_name":"LB-MDP-CL: A Reinforcement Learning and Co-Evolutionary Approach for Optimizing Responses in Multi-Step Cyberattacks","publication_year":2025,"publication_date":"2025-06-25","ids":{"openalex":"https://openalex.org/W4413018024","doi":"https://doi.org/10.1109/medcomnet65822.2025.11103529"},"language":"en","primary_location":{"id":"doi:10.1109/medcomnet65822.2025.11103529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/medcomnet65822.2025.11103529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 23rd Mediterranean Communication and Computer Networking Conference (MedComNet)","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/A5003393896","display_name":"Aws Naser Jaber","orcid":"https://orcid.org/0000-0001-5206-9155"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Aws Jaber","raw_affiliation_strings":["KTH Royal Institute of Technology,Division of Network and Systems Engineering,Stockholm,Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology,Division of Network and Systems Engineering,Stockholm,Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037347229","display_name":"Giordano Col\u00f2","orcid":"https://orcid.org/0009-0005-8639-506X"},"institutions":[{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Giordano Col\u00f2","raw_affiliation_strings":["Leonardo S.p.A.,Artificial Intelligence Lab,Rome,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leonardo S.p.A.,Artificial Intelligence Lab,Rome,Italy","institution_ids":["https://openalex.org/I4210164862"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9814,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84195082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9553999900817871,"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":0.9553999900817871,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.919700026512146,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9178000092506409,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8144073486328125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6762450337409973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39526617527008057}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8144073486328125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6762450337409973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39526617527008057}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/medcomnet65822.2025.11103529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/medcomnet65822.2025.11103529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 23rd Mediterranean Communication and Computer Networking Conference (MedComNet)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2582946978","https://openalex.org/W2890166164","https://openalex.org/W2973184394","https://openalex.org/W3026089515","https://openalex.org/W3176646691","https://openalex.org/W4293057307","https://openalex.org/W4383503710","https://openalex.org/W4391347706","https://openalex.org/W4396699221","https://openalex.org/W4400976364","https://openalex.org/W6874203194"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4306904969","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2138720691","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Cyberattacks":[0],"pose":[1],"significant":[2],"threats":[3],"to":[4,26],"business-critical":[5],"operations,":[6],"necessitating":[7],"robust":[8],"and":[9,40,50,56,65,107],"adaptive":[10],"defense":[11],"strategies.":[12],"This":[13],"paper":[14],"introduces":[15],"a":[16,66],"Learning-Based":[17],"Markov":[18],"Decision":[19],"Process":[20],"with":[21,76],"Coevolutionary":[22],"Learning":[23,79],"(LB-MDP-CL)":[24],"framework":[25],"optimize":[27],"defensive":[28],"responses":[29],"in":[30,89],"multi-step":[31],"cyberattack":[32],"scenarios.":[33],"By":[34],"simulating":[35],"repeated":[36],"interactions":[37],"between":[38],"defenders":[39],"evolving":[41],"attacker":[42,100],"models,":[43],"the":[44,83],"proposed":[45],"approach":[46],"enables":[47],"continuous":[48],"learning":[49,88],"adaptation,":[51],"thereby":[52],"enhancing":[53],"operational":[54],"resilience":[55],"overall":[57],"effectiveness.":[58],"We":[59],"present":[60],"detailed":[61],"simulations,":[62],"calibration":[63],"methodologies,":[64],"reproducible":[67],"setup":[68],"for":[69],"evaluating":[70],"LB-MDP-CL.":[71],"Furthermore,":[72],"we":[73],"compare":[74],"LB-MDP-CL":[75,97],"established":[77],"Reinforcement":[78],"(RL)":[80],"methods,":[81],"demonstrating":[82],"potential":[84],"benefits":[85],"of":[86],"co-evolutionary":[87],"dynamic":[90],"cyber":[91],"defense.":[92],"Experimental":[93],"results":[94],"show":[95],"that":[96],"significantly":[98],"reduces":[99],"dwell":[101],"time":[102],"while":[103],"balancing":[104],"risk":[105],"reduction":[106],"system":[108],"continuity.":[109]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
