{"id":"https://openalex.org/W4400351814","doi":"https://doi.org/10.1109/smartnets61466.2024.10577692","title":"HDRL-IDS: A Hybrid Deep Reinforcement Learning Intrusion Detection System for Enhancing the Security of Medical Applications in 5G Networks","display_name":"HDRL-IDS: A Hybrid Deep Reinforcement Learning Intrusion Detection System for Enhancing the Security of Medical Applications in 5G Networks","publication_year":2024,"publication_date":"2024-05-28","ids":{"openalex":"https://openalex.org/W4400351814","doi":"https://doi.org/10.1109/smartnets61466.2024.10577692"},"language":"en","primary_location":{"id":"doi:10.1109/smartnets61466.2024.10577692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartnets61466.2024.10577692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Smart Applications, Communications and Networking (SmartNets)","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/A5038747536","display_name":"Ali Ghubaish","orcid":"https://orcid.org/0000-0003-3358-7680"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ali Ghubaish","raw_affiliation_strings":["Washington University in St. Louis,Department of Computer Science and Engineering,St. Louis,MO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis,Department of Computer Science and Engineering,St. Louis,MO","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029266216","display_name":"Zebo Yang","orcid":"https://orcid.org/0000-0002-0600-2141"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zebo Yang","raw_affiliation_strings":["Washington University in St. Louis,Department of Computer Science and Engineering,St. Louis,MO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis,Department of Computer Science and Engineering,St. Louis,MO","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024922935","display_name":"Raj Jain","orcid":"https://orcid.org/0000-0002-7023-0368"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raj Jain","raw_affiliation_strings":["Washington University in St. Louis,Department of Computer Science and Engineering,St. Louis,MO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis,Department of Computer Science and Engineering,St. Louis,MO","institution_ids":["https://openalex.org/I204465549"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038747536"],"corresponding_institution_ids":["https://openalex.org/I204465549"],"apc_list":null,"apc_paid":null,"fwci":6.0148,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.96690707,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"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":0.9289000034332275,"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":0.9289000034332275,"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":0.928600013256073,"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/T11932","display_name":"Wireless Body Area Networks","score":0.9254999756813049,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.849789023399353},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8325655460357666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7486210465431213},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.485617071390152},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4088754653930664},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.39068445563316345},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.35911980271339417}],"concepts":[{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.849789023399353},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8325655460357666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7486210465431213},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.485617071390152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4088754653930664},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.39068445563316345},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.35911980271339417}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smartnets61466.2024.10577692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartnets61466.2024.10577692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Smart Applications, Communications and Networking (SmartNets)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1514421817","https://openalex.org/W1972757409","https://openalex.org/W2958285686","https://openalex.org/W3033120446","https://openalex.org/W3046697349","https://openalex.org/W3112115914","https://openalex.org/W3112388352","https://openalex.org/W3126389064","https://openalex.org/W3205598877","https://openalex.org/W3217115371","https://openalex.org/W4210680301","https://openalex.org/W4244705237","https://openalex.org/W4295346826","https://openalex.org/W4386552795","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W2061466315","https://openalex.org/W2376886931","https://openalex.org/W1992118813","https://openalex.org/W2010561419","https://openalex.org/W2374845301","https://openalex.org/W2351448539","https://openalex.org/W1977863481","https://openalex.org/W2384741105","https://openalex.org/W1495178644","https://openalex.org/W2185594426"],"abstract_inverted_index":{"The":[0],"evolution":[1],"of":[2,9,22,31,73,86,94,143,153],"next-generation":[3],"wireless":[4],"networks,":[5],"particularly":[6],"the":[7,20,29,56,61,84,141,151,200],"integration":[8],"Multi-access":[10],"Edge":[11],"Computing":[12],"(MEC)":[13],"in":[14,28,48,120,173,199],"5G,":[15],"is":[16,26],"set":[17],"to":[18,64,125,193,206],"revolutionize":[19],"infrastructure":[21],"secure":[23],"systems.":[24],"This":[25],"exemplified":[27],"Internet":[30],"Medical":[32],"Things":[33],"(IoMT)":[34],"field,":[35,201],"where":[36],"benefits":[37],"such":[38,96],"as":[39],"remote":[40],"surgeries":[41],"and":[42,68,132,146,158,171,197,210],"diagnostics":[43],"become":[44],"increasingly":[45],"common,":[46],"especially":[47],"pandemic":[49],"scenarios.":[50],"However,":[51],"incorporating":[52],"MEC":[53,191],"services":[54,192],"into":[55],"5G":[57,187],"framework":[58],"significantly":[59],"enlarges":[60],"network's":[62],"vulnerability":[63],"traditional":[65,169],"security":[66,98,129],"breaches":[67],"introduces":[69,110],"new,":[70],"sophisticated":[71],"types":[72],"attacks.":[74],"These":[75],"emerging":[76],"threats,":[77],"often":[78],"undetectable":[79],"by":[80],"conventional":[81],"methods,":[82],"necessitate":[83],"development":[85,198],"an":[87,121,185],"adaptive":[88],"Intrusion":[89],"Detection":[90],"System":[91],"(IDS)":[92],"capable":[93],"identifying":[95],"complex":[97,128],"challenges":[99],"with":[100,134,189],"minimal":[101],"human":[102,136],"intervention.":[103],"To":[104],"tackle":[105],"these":[106],"issues,":[107],"this":[108],"paper":[109],"a":[111,180],"novel":[112,181],"Hybrid":[113],"Deep":[114],"Reinforcement":[115],"Learning":[116],"IDS":[117,156,160],"(HDRL-IDS),":[118],"rooted":[119],"actor-critic":[122],"methodology,":[123],"designed":[124,205],"detect":[126],"more":[127],"threats":[130],"adaptively":[131],"autonomously":[133],"limited":[135],"oversight.":[137],"Our":[138],"HDRL-IDS":[139,167],"combines":[140],"analysis":[142],"both":[144,154],"network":[145],"host":[147],"features,":[148],"effectively":[149],"leveraging":[150],"advantages":[152],"Network":[155],"(NIDS)":[157],"Host":[159],"(HIDS).":[161],"Empirical":[162],"results":[163],"indicate":[164],"that":[165],"our":[166],"outperforms":[168],"NIDS":[170],"HIDS":[172],"threat":[174],"detection":[175],"efficacy.":[176],"Furthermore,":[177],"we":[178],"present":[179],"dataset":[182],"derived":[183],"from":[184],"emulated":[186],"testbed":[188],"integrated":[190],"facilitate":[194],"advanced":[195],"research":[196],"specifically":[202],"for":[203],"applications":[204],"address":[207],"intricate":[208],"attacks":[209],"scenarios":[211],"demanding":[212],"high":[213],"reliability.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-02T08:42:23.175194","created_date":"2025-10-10T00:00:00"}
