{"id":"https://openalex.org/W4410357140","doi":"https://doi.org/10.1145/3672608.3707800","title":"Balancing the Scales: Using GANs and Class Balance for Superior Malware Detection","display_name":"Balancing the Scales: Using GANs and Class Balance for Superior Malware Detection","publication_year":2025,"publication_date":"2025-03-31","ids":{"openalex":"https://openalex.org/W4410357140","doi":"https://doi.org/10.1145/3672608.3707800"},"language":"en","primary_location":{"id":"doi:10.1145/3672608.3707800","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3672608.3707800","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3672608.3707800","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3672608.3707800","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014971941","display_name":"Attaullah Buriro","orcid":"https://orcid.org/0000-0003-2723-2410"},"institutions":[{"id":"https://openalex.org/I149461666","display_name":"Ca' Foscari University of Venice","ror":"https://ror.org/04yzxz566","country_code":"IT","type":"education","lineage":["https://openalex.org/I149461666"]},{"id":"https://openalex.org/I171543936","display_name":"Free University of Bozen-Bolzano","ror":"https://ror.org/012ajp527","country_code":"IT","type":"education","lineage":["https://openalex.org/I171543936"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Attaullah Bolzano Buriro","raw_affiliation_strings":["Ca' Foscari University of Venice and Faculty of Engineering, Free University of Bolzano-Bozen, Bolzano, Bolzano, Italy"],"affiliations":[{"raw_affiliation_string":"Ca' Foscari University of Venice and Faculty of Engineering, Free University of Bolzano-Bozen, Bolzano, Bolzano, Italy","institution_ids":["https://openalex.org/I171543936","https://openalex.org/I149461666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031937441","display_name":"Flaminia L. Luccio","orcid":"https://orcid.org/0000-0002-5409-5039"},"institutions":[{"id":"https://openalex.org/I149461666","display_name":"Ca' Foscari University of Venice","ror":"https://ror.org/04yzxz566","country_code":"IT","type":"education","lineage":["https://openalex.org/I149461666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Flaminia Venice Luccio","raw_affiliation_strings":["Ca' Foscari University of Venice, Venice, Italy"],"affiliations":[{"raw_affiliation_string":"Ca' Foscari University of Venice, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044544290","display_name":"Muhammad Azfar Yaqub","orcid":"https://orcid.org/0000-0003-2150-952X"},"institutions":[{"id":"https://openalex.org/I171543936","display_name":"Free University of Bozen-Bolzano","ror":"https://ror.org/012ajp527","country_code":"IT","type":"education","lineage":["https://openalex.org/I171543936"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Muhammad Azfar Bolzano Yaqub","raw_affiliation_strings":["Faculty of Engineering, Free University of Bozen-Bolzano, Bolzano, Italy, Bolzano, Bolzano, Italy"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Free University of Bozen-Bolzano, Bolzano, Italy, Bolzano, Bolzano, Italy","institution_ids":["https://openalex.org/I171543936"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014971941"],"corresponding_institution_ids":["https://openalex.org/I149461666","https://openalex.org/I171543936"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11118519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2032","last_page":"2039"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9998999834060669,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9984999895095825,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9966999888420105,"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/malware","display_name":"Malware","score":0.7983863949775696},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7103972434997559},{"id":"https://openalex.org/keywords/balance","display_name":"Balance (ability)","score":0.5389668941497803},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.532563328742981},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.35688498616218567},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23858675360679626}],"concepts":[{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.7983863949775696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7103972434997559},{"id":"https://openalex.org/C168031717","wikidata":"https://www.wikidata.org/wiki/Q1530280","display_name":"Balance (ability)","level":2,"score":0.5389668941497803},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.532563328742981},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.35688498616218567},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23858675360679626},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3672608.3707800","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3672608.3707800","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3672608.3707800","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unive.it:10278/5092489","is_oa":false,"landing_page_url":"https://hdl.handle.net/10278/5092489","pdf_url":null,"source":{"id":"https://openalex.org/S4306402336","display_name":"ARCA (Universit\u00e0 Ca' Foscari Venezia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149461666","host_organization_name":"Ca' Foscari University of Venice","host_organization_lineage":["https://openalex.org/I149461666"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.1145/3672608.3707800","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3672608.3707800","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3672608.3707800","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G1374306608","display_name":null,"funder_award_id":"ECS00000043","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G2187520252","display_name":"Imaging of the neural stem cell origin, proliferation, and fate within the stem cell niches of the mammalian brain","funder_award_id":"220005","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G2490945475","display_name":null,"funder_award_id":"CUP H43C22000540006","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3650733657","display_name":null,"funder_award_id":"NextGenerationEU","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G507880695","display_name":null,"funder_award_id":"PE00000014","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5538284277","display_name":null,"funder_award_id":"National Recovery","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8386731437","display_name":null,"funder_award_id":"Resilience Plan (NRRP)","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8846977392","display_name":"The role of RNA interference in antibacterial responses of Caenorhabditis elegans","funder_award_id":"220008","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8893660128","display_name":null,"funder_award_id":"PE0000001","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410357140.pdf","grobid_xml":"https://content.openalex.org/works/W4410357140.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1511085305","https://openalex.org/W1994740897","https://openalex.org/W2037026906","https://openalex.org/W2118978333","https://openalex.org/W2148143831","https://openalex.org/W2148633389","https://openalex.org/W2350778671","https://openalex.org/W2587930273","https://openalex.org/W2801888526","https://openalex.org/W2944012984","https://openalex.org/W2998016702","https://openalex.org/W3043963370","https://openalex.org/W3132524851","https://openalex.org/W3135001103","https://openalex.org/W3152691043","https://openalex.org/W3175510287","https://openalex.org/W3177378806","https://openalex.org/W3178593045","https://openalex.org/W4282836067","https://openalex.org/W4321097601"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2097492617","https://openalex.org/W2753240997","https://openalex.org/W1764168690","https://openalex.org/W2537959205","https://openalex.org/W2740895074","https://openalex.org/W2772446090","https://openalex.org/W4284893819"],"abstract_inverted_index":{"Ensuring":[0],"the":[1,8,67,79,95,131,140,143,169,172],"security":[2],"of":[3,13,32,48,71,81,97,114,134],"a":[4,29,45,101],"network":[5],"infrastructure":[6],"necessitates":[7],"precise":[9],"detection":[10,73],"and":[11,54,69,74,86,157],"categorization":[12,75],"malware.":[14],"While":[15],"existing":[16],"methodologies":[17],"have":[18],"demonstrated":[19],"higher":[20,46],"accuracy,":[21],"their":[22],"effectiveness":[23],"has":[24],"predominantly":[25],"been":[26],"validated":[27],"on":[28,41,90,100,142],"limited":[30],"subset":[31],"malware":[33,42,72,121],"families":[34,43,122],"or":[35],"samples.":[36,116],"These":[37],"analyses":[38],"often":[39],"focus":[40],"with":[44,123],"number":[47],"samples,":[49],"potentially":[50],"leading":[51],"to":[52,65,153,175],"biased":[53],"unrepresentative":[55],"classification":[56],"results.":[57],"To":[58],"address":[59],"this":[60],"gap,":[61],"our":[62,98,166],"study":[63],"aims":[64],"enhance":[66],"accuracy":[68,133,174],"robustness":[70],"systems":[76],"by":[77,148],"investigating":[78],"impact":[80],"dataset":[82,104],"size,":[83],"class":[84,160],"balance,":[85],"data":[87],"augmentation":[88],"techniques":[89],"classifier":[91,141],"performance.":[92],"We":[93],"demonstrate":[94],"efficacy":[96],"approach":[99,167],"comparatively":[102],"larger":[103],"titled":[105],"Blue":[106],"Hexagon":[107],"Open":[108],"Dataset":[109],"for":[110],"Malware":[111],"AnalysiS,":[112],"comprising":[113],"134k":[115],"Our":[117],"analysis,":[118],"exploiting":[119],"85":[120],"at":[124],"least":[125],"50":[126],"samples":[127,156],"each,":[128],"results":[129],"in":[130,163,171],"highest":[132],"92.28%":[135],"using":[136],"Random":[137],"Forest":[138],"as":[139],"original":[144],"imbalanced":[145],"dataset.":[146],"However,":[147],"employing":[149],"Generative":[150],"Adversarial":[151],"Networks":[152],"generate":[154],"synthetic":[155],"achieve":[158],"balanced":[159,164],"distributions":[161],"(resulted":[162],"datasets),":[165],"demonstrates":[168],"improvement":[170],"classifier's":[173],"99.35%.":[176]},"counts_by_year":[],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
