{"id":"https://openalex.org/W4407098346","doi":"https://doi.org/10.23919/isita60732.2024.10858236","title":"Generative Adversarial Networks for Imbalanced Dataset Intrusion Detection in Software-Defined Networking","display_name":"Generative Adversarial Networks for Imbalanced Dataset Intrusion Detection in Software-Defined Networking","publication_year":2024,"publication_date":"2024-11-10","ids":{"openalex":"https://openalex.org/W4407098346","doi":"https://doi.org/10.23919/isita60732.2024.10858236"},"language":"en","primary_location":{"id":"doi:10.23919/isita60732.2024.10858236","is_oa":false,"landing_page_url":"https://doi.org/10.23919/isita60732.2024.10858236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Symposium on Information Theory and Its Applications (ISITA)","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/A5114881526","display_name":"S. M. Shamim","orcid":null},"institutions":[{"id":"https://openalex.org/I163770644","display_name":"Okayama University","ror":"https://ror.org/02pc6pc55","country_code":"JP","type":"education","lineage":["https://openalex.org/I163770644"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"S. M. Shamim","raw_affiliation_strings":["Graduate School of Environmental, Life, Natural Science and Technology, Okayama University,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Environmental, Life, Natural Science and Technology, Okayama University,Japan","institution_ids":["https://openalex.org/I163770644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027010317","display_name":"Muhammad Bisri Musthafa","orcid":null},"institutions":[{"id":"https://openalex.org/I163770644","display_name":"Okayama University","ror":"https://ror.org/02pc6pc55","country_code":"JP","type":"education","lineage":["https://openalex.org/I163770644"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Muhammad Bisri Musthafa","raw_affiliation_strings":["Graduate School of Environmental, Life, Natural Science and Technology, Okayama University,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Environmental, Life, Natural Science and Technology, Okayama University,Japan","institution_ids":["https://openalex.org/I163770644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034847396","display_name":"Samsul Huda","orcid":"https://orcid.org/0000-0003-1046-0804"},"institutions":[{"id":"https://openalex.org/I163770644","display_name":"Okayama University","ror":"https://ror.org/02pc6pc55","country_code":"JP","type":"education","lineage":["https://openalex.org/I163770644"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Samsul Huda","raw_affiliation_strings":["Green Innovation Center, Okayama University,Japan"],"affiliations":[{"raw_affiliation_string":"Green Innovation Center, Okayama University,Japan","institution_ids":["https://openalex.org/I163770644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020550164","display_name":"Yuta Kodera","orcid":"https://orcid.org/0000-0002-6482-6122"},"institutions":[{"id":"https://openalex.org/I163770644","display_name":"Okayama University","ror":"https://ror.org/02pc6pc55","country_code":"JP","type":"education","lineage":["https://openalex.org/I163770644"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuta Kodera","raw_affiliation_strings":["Graduate School of Environmental, Life, Natural Science and Technology, Okayama University,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Environmental, Life, Natural Science and Technology, Okayama University,Japan","institution_ids":["https://openalex.org/I163770644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065515042","display_name":"Yasuyuki Nogami","orcid":"https://orcid.org/0000-0001-6247-0719"},"institutions":[{"id":"https://openalex.org/I163770644","display_name":"Okayama University","ror":"https://ror.org/02pc6pc55","country_code":"JP","type":"education","lineage":["https://openalex.org/I163770644"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuyuki Nogami","raw_affiliation_strings":["Graduate School of Environmental, Life, Natural Science and Technology, Okayama University,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Environmental, Life, Natural Science and Technology, Okayama University,Japan","institution_ids":["https://openalex.org/I163770644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5114881526"],"corresponding_institution_ids":["https://openalex.org/I163770644"],"apc_list":null,"apc_paid":null,"fwci":0.7326,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.75443383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"103","last_page":"108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9988999962806702,"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":0.9988999962806702,"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/T10714","display_name":"Software-Defined Networks and 5G","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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9941999912261963,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.8111148476600647},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7701276540756226},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6526162028312683},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5772842764854431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5429302453994751},{"id":"https://openalex.org/keywords/software-defined-networking","display_name":"Software-defined networking","score":0.5251390933990479},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5128533840179443},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47222116589546204},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4407826066017151},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42436447739601135},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15571004152297974},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.14914283156394958}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8111148476600647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7701276540756226},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6526162028312683},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5772842764854431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5429302453994751},{"id":"https://openalex.org/C77270119","wikidata":"https://www.wikidata.org/wiki/Q1655198","display_name":"Software-defined networking","level":2,"score":0.5251390933990479},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5128533840179443},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47222116589546204},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4407826066017151},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42436447739601135},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15571004152297974},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.14914283156394958},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/isita60732.2024.10858236","is_oa":false,"landing_page_url":"https://doi.org/10.23919/isita60732.2024.10858236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Symposium on Information Theory and Its Applications (ISITA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W323404752","https://openalex.org/W2040340473","https://openalex.org/W2587508615","https://openalex.org/W2915905517","https://openalex.org/W2956030019","https://openalex.org/W3084346886","https://openalex.org/W3109037541","https://openalex.org/W3165292502","https://openalex.org/W3175632151","https://openalex.org/W4210878212","https://openalex.org/W4226315262","https://openalex.org/W4313891707","https://openalex.org/W6765451912"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785","https://openalex.org/W4297411772","https://openalex.org/W4235873501"],"abstract_inverted_index":{"Software-defined":[0],"networks":[1,134],"(SDN)":[2],"have":[3],"become":[4],"prominent":[5],"technologies":[6],"in":[7,74,112,146,150],"recent":[8],"times":[9,217],"owing":[10],"to":[11,88,136,167],"their":[12],"centralized":[13,20],"network":[14],"management,":[15],"flexibility,":[16],"and":[17,28,41,46,59,118,177,181,204,212,215],"rapidity.":[18],"The":[19,69,158],"structure":[21],"of":[22,99,110],"SDN":[23,67],"architecture":[24],"may":[25,119],"introduce":[26],"vulnerability":[27],"threat,":[29],"which":[30],"can":[31,86],"affect":[32,121],"normal":[33],"users":[34],"through":[35],"resource":[36],"depletion,":[37],"decreased":[38],"internet":[39],"speeds,":[40],"memory":[42],"consumption":[43],"on":[44,162],"controllers":[45],"switches.":[47],"An":[48],"efficient":[49],"intrusion":[50],"detection":[51,98,152],"system":[52],"(IDS)":[53],"is":[54,164],"required":[55],"for":[56,140,155],"actively":[57],"monitoring":[58],"identifying":[60],"malicious":[61],"activities":[62],"or":[63,104],"potential":[64],"threats":[65],"within":[66],"networks.":[68],"current":[70],"machine":[71,191],"learning":[72,192],"techniques":[73],"IDS":[75],"often":[76],"face":[77],"challenges":[78,117],"when":[79],"dealing":[80],"with":[81],"imbalanced":[82,143],"datasets.":[83],"These":[84],"datasets":[85],"lead":[87],"biased":[89],"model":[90,175],"performance":[91,176,188],"toward":[92],"the":[93,113,122,142,169,186,224],"dominant":[94],"class,":[95],"causing":[96],"inadequate":[97],"minority-class":[100],"instances":[101],"like":[102],"anomalies":[103],"intrusions.":[105],"Moreover,":[106],"a":[107,128],"large":[108],"number":[109],"features":[111,172],"dataset":[114,144],"increases":[115],"computational":[116],"adversely":[120],"model's":[123,187],"performance.":[124],"This":[125,148],"work":[126],"presents":[127],"deep":[129],"learning-based":[130],"technique":[131],"generative":[132],"adversarial":[133],"(GAN)":[135],"generate":[137],"synthetic":[138],"data":[139],"balancing":[141],"issues":[145],"IDS.":[147],"helps":[149],"improving":[151],"performance,":[153],"especially":[154],"minority":[156],"classes.":[157],"chi-square":[159],"test":[160],"based":[161],"statistics":[163],"also":[165],"used":[166],"select":[168],"most":[170],"significant":[171],"that":[173],"enhance":[174],"decrease":[178],"both":[179],"training":[180,214],"testing":[182,216],"time.":[183],"We":[184],"evaluate":[185],"using":[189],"multiple":[190],"algorithms,":[193],"including":[194],"Naive":[195],"Bayes":[196],"(NB),":[197],"Extra":[198],"Trees":[199],"(ET),":[200],"Random":[201],"Forest":[202],"(RF),":[203],"XGBoost":[205],"(XGB).":[206],"Our":[207],"evaluation":[208],"demonstrates":[209],"improved":[210],"accuracy":[211,226],"reduced":[213],"across":[218],"these":[219],"algorithms.":[220],"Notably,":[221],"XGB":[222],"achieves":[223],"highest":[225],"<tex":[227],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[228],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathbf{0.":[229],"9":[230],"9}$</tex>.":[231]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
