{"id":"https://openalex.org/W4387870999","doi":"https://doi.org/10.1109/icc45041.2023.10279233","title":"A Wasserstein GAN-based Framework for Adversarial Attacks Against Intrusion Detection Systems","display_name":"A Wasserstein GAN-based Framework for Adversarial Attacks Against Intrusion Detection Systems","publication_year":2023,"publication_date":"2023-05-28","ids":{"openalex":"https://openalex.org/W4387870999","doi":"https://doi.org/10.1109/icc45041.2023.10279233"},"language":"en","primary_location":{"id":"doi:10.1109/icc45041.2023.10279233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45041.2023.10279233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2023 - IEEE International Conference on Communications","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":null,"display_name":"Fangda Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Fangda Cui","raw_affiliation_strings":["Dalhousie University,Faculty of Computer Science,Halifax,Canada","Faculty of Computer Science, Dalhousie University, Halifax, Canada"],"affiliations":[{"raw_affiliation_string":"Dalhousie University,Faculty of Computer Science,Halifax,Canada","institution_ids":["https://openalex.org/I129902397"]},{"raw_affiliation_string":"Faculty of Computer Science, Dalhousie University, Halifax, Canada","institution_ids":["https://openalex.org/I129902397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033658029","display_name":"Qiang Ye","orcid":"https://orcid.org/0000-0001-6711-7818"},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Qiang Ye","raw_affiliation_strings":["Dalhousie University,Faculty of Computer Science,Halifax,Canada","Faculty of Computer Science, Dalhousie University, Halifax, Canada"],"affiliations":[{"raw_affiliation_string":"Dalhousie University,Faculty of Computer Science,Halifax,Canada","institution_ids":["https://openalex.org/I129902397"]},{"raw_affiliation_string":"Faculty of Computer Science, Dalhousie University, Halifax, Canada","institution_ids":["https://openalex.org/I129902397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5093111567","display_name":"Patricia Kibenge-MacLeod","orcid":null},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Patricia Kibenge-MacLeod","raw_affiliation_strings":["Dalhousie University,Faculty of Computer Science,Halifax,Canada","Faculty of Computer Science, Dalhousie University, Halifax, Canada"],"affiliations":[{"raw_affiliation_string":"Dalhousie University,Faculty of Computer Science,Halifax,Canada","institution_ids":["https://openalex.org/I129902397"]},{"raw_affiliation_string":"Faculty of Computer Science, Dalhousie University, Halifax, Canada","institution_ids":["https://openalex.org/I129902397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I129902397"],"apc_list":null,"apc_paid":null,"fwci":1.5845,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84519082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3187","last_page":"3192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9991999864578247,"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":0.9991999864578247,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9948999881744385,"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":0.8031644821166992},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7765575647354126},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.5939138531684875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.574199378490448},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5464916229248047},{"id":"https://openalex.org/keywords/adversarial-machine-learning","display_name":"Adversarial machine learning","score":0.5286087393760681},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4903435707092285},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4702552556991577},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.46343833208084106},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.45500871539115906},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.23506155610084534},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.20678359270095825}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8031644821166992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7765575647354126},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.5939138531684875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.574199378490448},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5464916229248047},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.5286087393760681},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4903435707092285},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4702552556991577},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.46343833208084106},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.45500871539115906},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.23506155610084534},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.20678359270095825}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc45041.2023.10279233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45041.2023.10279233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2023 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G4846840509","display_name":null,"funder_award_id":"RGPIN-2017-05853","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2099940443","https://openalex.org/W2101109743","https://openalex.org/W2544287479","https://openalex.org/W2728257130","https://openalex.org/W2789828921","https://openalex.org/W2853623529","https://openalex.org/W2889836475","https://openalex.org/W2948039971","https://openalex.org/W2963391384","https://openalex.org/W2963564844","https://openalex.org/W3093410479","https://openalex.org/W3103241526","https://openalex.org/W3168005866","https://openalex.org/W3193917007","https://openalex.org/W4285281953","https://openalex.org/W6729227926","https://openalex.org/W6740230398"],"related_works":["https://openalex.org/W3048732067","https://openalex.org/W4383468834","https://openalex.org/W4283221438","https://openalex.org/W2900159906","https://openalex.org/W4384648009","https://openalex.org/W4287828318","https://openalex.org/W2406556600","https://openalex.org/W4380352238","https://openalex.org/W3126470649","https://openalex.org/W2930249865"],"abstract_inverted_index":{"Intrusion":[0],"detection":[1,149],"system":[2],"(IDS)":[3],"has":[4],"become":[5],"an":[6,17],"essential":[7],"component":[8],"of":[9,16,56,106,116,128,136,148],"modern":[10],"communication":[11,22],"networks.":[12],"The":[13],"major":[14],"responsibility":[15],"IDS":[18,58,164,189],"is":[19,59,109],"to":[20,44,78,82],"monitor":[21],"networks":[23,76],"for":[24],"malicious":[25,119],"attacks":[26,135],"or":[27],"policy":[28],"violations.":[29],"Over":[30],"the":[31,54,88,94,104,107,114,117,126,129,157,163,183,188],"past":[32],"years,":[33],"machine":[34],"learning":[35,39],"(ML)":[36],"and":[37,103,151,176,198],"deep":[38],"(DL)":[40],"have":[41,51],"been":[42],"employed":[43],"construct":[45],"effective":[46],"IDS.":[47,85,142],"However,":[48],"recent":[49],"studies":[50],"shown":[52],"that":[53,156],"reliability":[55],"ML/DL-based":[57,84,141],"questionable":[60],"under":[61],"adversarial":[62,75,80,90,134],"attacks.":[63],"In":[64,121,181],"this":[65],"paper,":[66],"we":[67,124],"propose":[68],"a":[69],"framework":[70,96,108,131,159,184],"based":[71,165,190],"on":[72,166,191],"Wasserstein":[73],"generative":[74],"(WGANs)":[77],"generate":[79],"traffic":[81],"evade":[83,187],"Compared":[86],"with":[87],"existing":[89],"attack":[91],"generation":[92],"schemes,":[93],"proposed":[95,130,158],"only":[97],"involves":[98],"highly":[99],"restricted":[100],"modification":[101],"operations":[102],"output":[105],"carefully":[110],"regulated,":[111],"ultimately":[112],"preserving":[113],"type":[115],"intended":[118],"traffic.":[120],"our":[122],"research,":[123],"validated":[125],"effectiveness":[127],"by":[132],"launching":[133],"varied":[137],"types":[138],"against":[139],"multiple":[140],"Our":[143],"experimental":[144],"results":[145],"in":[146],"terms":[147],"rate":[150,154],"evasion":[152],"increase":[153],"indicate":[155],"can":[160,185],"completely":[161],"deceive":[162],"Naive":[167],"Bayes":[168],"(NB),":[169],"Logistic":[170],"Regression":[171],"(LR),":[172],"Random":[173],"Forest":[174],"(RF),":[175],"Recurrent":[177],"Neural":[178],"Network":[179],"(RNN).":[180],"addition,":[182],"partially":[186],"Decision":[192],"Tree":[193],"(DT),":[194],"Gradient":[195],"Boosting":[196],"(GB),":[197],"Multilayer":[199],"Perceptrons":[200],"(MLP).":[201]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
