{"id":"https://openalex.org/W4406793950","doi":"https://doi.org/10.1109/jiot.2025.3533918","title":"Clustering-Based Intrusion Detection System Meets Multicritics Generative Adversarial Networks","display_name":"Clustering-Based Intrusion Detection System Meets Multicritics Generative Adversarial Networks","publication_year":2025,"publication_date":"2025-01-24","ids":{"openalex":"https://openalex.org/W4406793950","doi":"https://doi.org/10.1109/jiot.2025.3533918"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3533918","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3533918","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5101497357","display_name":"Haofan Wang","orcid":"https://orcid.org/0000-0002-8614-9353"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haofan Wang","raw_affiliation_strings":["Computer Science and Software Engineering, Auburn University, Auburn, AL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Software Engineering, Auburn University, Auburn, AL, USA","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023415370","display_name":"Farah Kandah","orcid":"https://orcid.org/0000-0002-5729-8536"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Farah Kandah","raw_affiliation_strings":["Computer Science and Software Engineering, Auburn University, Auburn, AL, USA"],"raw_orcid":"https://orcid.org/0000-0002-5729-8536","affiliations":[{"raw_affiliation_string":"Computer Science and Software Engineering, Auburn University, Auburn, AL, USA","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052502361","display_name":"Thilina Mendis","orcid":null},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thilina Mendis","raw_affiliation_strings":["Computer Science and Software Engineering, Auburn University, Auburn, AL, USA"],"raw_orcid":"https://orcid.org/0009-0000-0569-6690","affiliations":[{"raw_affiliation_string":"Computer Science and Software Engineering, Auburn University, Auburn, AL, USA","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063435178","display_name":"Lalith Medury","orcid":null},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lalith Medury","raw_affiliation_strings":["Computer Science and Software Engineering, Auburn University, Auburn, AL, USA"],"raw_orcid":"https://orcid.org/0009-0003-5077-3853","affiliations":[{"raw_affiliation_string":"Computer Science and Software Engineering, Auburn University, Auburn, AL, USA","institution_ids":["https://openalex.org/I82497590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.7565,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.96953481,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"12","issue":"11","first_page":"16112","last_page":"16128"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9941999912261963,"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":0.9941999912261963,"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":0.9835000038146973,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9599000215530396,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/adversarial-system","display_name":"Adversarial system","score":0.8348825573921204},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8012290000915527},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7817910313606262},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.7277982234954834},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6002018451690674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5337812304496765},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42984652519226074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37245529890060425},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32284262776374817}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8348825573921204},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8012290000915527},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7817910313606262},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7277982234954834},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6002018451690674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5337812304496765},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42984652519226074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37245529890060425},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32284262776374817}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3533918","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3533918","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W433644524","https://openalex.org/W1128809682","https://openalex.org/W1947393375","https://openalex.org/W1952056635","https://openalex.org/W2008125527","https://openalex.org/W2047408376","https://openalex.org/W2066832805","https://openalex.org/W2070277155","https://openalex.org/W2082028187","https://openalex.org/W2099940443","https://openalex.org/W2116112328","https://openalex.org/W2140102659","https://openalex.org/W2148143831","https://openalex.org/W2154579705","https://openalex.org/W2155926039","https://openalex.org/W2161182098","https://openalex.org/W2165012164","https://openalex.org/W2291532640","https://openalex.org/W2296509296","https://openalex.org/W2346672933","https://openalex.org/W2524620548","https://openalex.org/W2744338514","https://openalex.org/W2744556021","https://openalex.org/W2772832743","https://openalex.org/W2777985171","https://openalex.org/W2787322429","https://openalex.org/W2800788706","https://openalex.org/W2904017320","https://openalex.org/W2910977229","https://openalex.org/W2911171945","https://openalex.org/W2914968227","https://openalex.org/W2945020349","https://openalex.org/W2947802941","https://openalex.org/W2958285686","https://openalex.org/W2963391384","https://openalex.org/W2970170226","https://openalex.org/W2978631110","https://openalex.org/W2980576170","https://openalex.org/W2995778637","https://openalex.org/W2996900869","https://openalex.org/W3008195198","https://openalex.org/W3022218140","https://openalex.org/W3086773888","https://openalex.org/W3087836803","https://openalex.org/W3089223274","https://openalex.org/W3093931417","https://openalex.org/W3111730645","https://openalex.org/W3146366485","https://openalex.org/W3176102326","https://openalex.org/W3185746581","https://openalex.org/W3186172578","https://openalex.org/W3216794265","https://openalex.org/W4286256931","https://openalex.org/W4295066500","https://openalex.org/W4295788744","https://openalex.org/W4309939034","https://openalex.org/W4315781229","https://openalex.org/W4315853008","https://openalex.org/W4321496206","https://openalex.org/W4360764832","https://openalex.org/W4360997137","https://openalex.org/W4385245566","https://openalex.org/W4391184520","https://openalex.org/W4391944556","https://openalex.org/W6681901243","https://openalex.org/W6718379498","https://openalex.org/W6729881831","https://openalex.org/W6735913928","https://openalex.org/W6756728290","https://openalex.org/W6779669310","https://openalex.org/W6787525259"],"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":{"Network":[0],"security":[1,55],"has":[2,29],"continuously":[3],"been":[4],"a":[5,13,22,57,79,205],"major":[6],"focus":[7],"of":[8,50,72,93,98,179,196],"research":[9],"and":[10,33,107],"concern":[11],"on":[12,204],"global":[14],"scale.":[15],"The":[16,96,161],"intrusion":[17],"detection":[18],"system":[19],"(IDS),":[20],"as":[21],"crucial":[23],"defensive":[24],"measure":[25],"against":[26],"network":[27,43,54],"attacks,":[28],"undergone":[30],"multiple":[31],"iterations":[32],"evolutions":[34],"since":[35],"its":[36,217],"inception":[37],"to":[38,40,46,67,89,114,132,144,190,212],"adapt":[39],"the":[41,47,91,99,116,137,149,166,170,177,182,187,208],"ever-changing":[42],"environment.":[44],"Due":[45],"widespread":[48],"issue":[49,92,178],"data":[51,94,101,168],"imbalance":[52],"in":[53],"datasets,":[56],"single":[58],"machine":[59],"learning":[60,63],"or":[61],"deep":[62],"model":[64,88,153,189,201],"often":[65],"struggles":[66],"effectively":[68,192],"handle":[69,193],"different":[70],"types":[71,195],"attacks.":[73,197],"In":[74],"this":[75,200],"work,":[76],"we":[77],"propose":[78],"multicritics":[80],"generative":[81],"adversarial":[82],"networks":[83],"(GAN)":[84],"clustering-based":[85],"IDS":[86,150],"(MCGC-IDS)":[87],"address":[90],"imbalance.":[95,180],"quality":[97],"generated":[100],"is":[102,112,119,154,202],"analyzed":[103],"using":[104],"correlation":[105],"heatmaps":[106],"PCA":[108],"plots,":[109],"which":[110],"later":[111],"used":[113],"update":[115],"dataset":[117,172],"that":[118,164],"utilized":[120],"for":[121,148],"feature":[122],"extraction":[123],"with":[124,157],"autoencoders":[125],"(AEs).":[126],"Subsequently,":[127],"CNN-LSTM":[128],"models":[129],"are":[130],"employed":[131],"analyze":[133],"clusters":[134],"formed":[135],"by":[136],"weighted":[138],"fuzzy":[139],"c-means":[140],"(WFCM)":[141],"clustering":[142],"algorithm":[143],"achieve":[145],"enhanced":[146],"performance":[147],"system.":[151],"This":[152],"then":[155],"compared":[156],"two":[158],"existing":[159],"models.":[160],"results":[162],"indicate":[163],"while":[165],"GAN-generated":[167],"retains":[169],"original":[171],"distribution,":[173],"it":[174,210],"also":[175],"addresses":[176],"Moreover,":[181],"subsequent":[183],"multilayered":[184],"processing":[185],"enables":[186],"overall":[188],"more":[191],"various":[194],"Finally,":[198],"when":[199],"tested":[203],"similar":[206],"dataset,":[207],"UNSW-NB15,":[209],"continues":[211],"demonstrate":[213],"superior":[214],"performance,":[215],"indicating":[216],"strong":[218],"generalizability.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
