{"id":"https://openalex.org/W4386065314","doi":"https://doi.org/10.1109/access.2023.3307463","title":"Anomaly-Based Intrusion on IoT Networks Using AIGAN-a Generative Adversarial Network","display_name":"Anomaly-Based Intrusion on IoT Networks Using AIGAN-a Generative Adversarial Network","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386065314","doi":"https://doi.org/10.1109/access.2023.3307463"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3307463","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3307463","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10226215.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10226215.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103086333","display_name":"Zhipeng Liu","orcid":"https://orcid.org/0000-0002-5453-0213"},"institutions":[{"id":"https://openalex.org/I1318611468","display_name":"Fidelity Investments (United States)","ror":"https://ror.org/04v8c9r98","country_code":"US","type":"company","lineage":["https://openalex.org/I1318611468"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhipeng Liu","raw_affiliation_strings":["Fidelity Investments, Boston, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-5453-0213","affiliations":[{"raw_affiliation_string":"Fidelity Investments, Boston, MA, USA","institution_ids":["https://openalex.org/I1318611468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100326920","display_name":"Junyi Hu","orcid":"https://orcid.org/0000-0001-8524-0123"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junyi Hu","raw_affiliation_strings":["Department of Computer Science, University of Massachusetts (UMASS) Lowell, Lowell, MA, USA"],"raw_orcid":"https://orcid.org/0000-0001-8524-0123","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Massachusetts (UMASS) Lowell, Lowell, MA, USA","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355887","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-4307-9738"},"institutions":[{"id":"https://openalex.org/I35777872","display_name":"North Carolina Agricultural and Technical State University","ror":"https://ror.org/02aze4h65","country_code":"US","type":"education","lineage":["https://openalex.org/I35777872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Department of Computer Science, North Carolina Agricultural and Technical State University, Greensboro, NC, USA"],"raw_orcid":"https://orcid.org/0000-0002-4307-9738","affiliations":[{"raw_affiliation_string":"Department of Computer Science, North Carolina Agricultural and Technical State University, Greensboro, NC, USA","institution_ids":["https://openalex.org/I35777872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070531407","display_name":"Kaushik Roy","orcid":"https://orcid.org/0000-0002-9026-5322"},"institutions":[{"id":"https://openalex.org/I35777872","display_name":"North Carolina Agricultural and Technical State University","ror":"https://ror.org/02aze4h65","country_code":"US","type":"education","lineage":["https://openalex.org/I35777872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaushik Roy","raw_affiliation_strings":["Department of Computer Science, North Carolina Agricultural and Technical State University, Greensboro, NC, USA"],"raw_orcid":"https://orcid.org/0000-0002-9026-5322","affiliations":[{"raw_affiliation_string":"Department of Computer Science, North Carolina Agricultural and Technical State University, Greensboro, NC, USA","institution_ids":["https://openalex.org/I35777872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078766422","display_name":"Xiaohong Yuan","orcid":"https://orcid.org/0000-0002-1295-9812"},"institutions":[{"id":"https://openalex.org/I35777872","display_name":"North Carolina Agricultural and Technical State University","ror":"https://ror.org/02aze4h65","country_code":"US","type":"education","lineage":["https://openalex.org/I35777872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaohong Yuan","raw_affiliation_strings":["Department of Computer Science, North Carolina Agricultural and Technical State University, Greensboro, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, North Carolina Agricultural and Technical State University, Greensboro, NC, USA","institution_ids":["https://openalex.org/I35777872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100949006","display_name":"Jinsheng Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I35777872","display_name":"North Carolina Agricultural and Technical State University","ror":"https://ror.org/02aze4h65","country_code":"US","type":"education","lineage":["https://openalex.org/I35777872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinsheng Xu","raw_affiliation_strings":["Department of Computer Science, North Carolina Agricultural and Technical State University, Greensboro, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, North Carolina Agricultural and Technical State University, Greensboro, NC, USA","institution_ids":["https://openalex.org/I35777872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.9174,"has_fulltext":true,"cited_by_count":31,"citation_normalized_percentile":{"value":0.95977589,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"11","issue":null,"first_page":"91116","last_page":"91132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9993000030517578,"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":0.9991000294685364,"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/computer-science","display_name":"Computer science","score":0.8471027612686157},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5953190922737122},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5561399459838867},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5372571349143982},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4915786683559418},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.46873530745506287},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4122960567474365},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.37348276376724243},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35413527488708496}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8471027612686157},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5953190922737122},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5561399459838867},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5372571349143982},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4915786683559418},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.46873530745506287},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4122960567474365},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.37348276376724243},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35413527488708496}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3307463","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3307463","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10226215.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d4b23457272d46a093834864670fd8ea","is_oa":true,"landing_page_url":"https://doaj.org/article/d4b23457272d46a093834864670fd8ea","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 91116-91132 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3307463","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3307463","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10226215.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386065314.pdf","grobid_xml":"https://content.openalex.org/works/W4386065314.grobid-xml"},"referenced_works_count":100,"referenced_works":["https://openalex.org/W9657784","https://openalex.org/W1542601440","https://openalex.org/W1566399673","https://openalex.org/W1673923490","https://openalex.org/W2064955109","https://openalex.org/W2152195021","https://openalex.org/W2591602089","https://openalex.org/W2591788621","https://openalex.org/W2610321374","https://openalex.org/W2780061022","https://openalex.org/W2788102893","https://openalex.org/W2896556344","https://openalex.org/W2900975567","https://openalex.org/W2902758299","https://openalex.org/W2906805076","https://openalex.org/W2914510789","https://openalex.org/W2914570111","https://openalex.org/W2937975340","https://openalex.org/W2952673310","https://openalex.org/W2962711307","https://openalex.org/W2963888996","https://openalex.org/W2965102627","https://openalex.org/W2965653989","https://openalex.org/W2971480956","https://openalex.org/W2982420042","https://openalex.org/W2982669769","https://openalex.org/W2982853004","https://openalex.org/W2984271195","https://openalex.org/W2991109336","https://openalex.org/W3006997833","https://openalex.org/W3007481080","https://openalex.org/W3008365266","https://openalex.org/W3019963807","https://openalex.org/W3037857795","https://openalex.org/W3045266804","https://openalex.org/W3081271317","https://openalex.org/W3082819946","https://openalex.org/W3091379954","https://openalex.org/W3096959809","https://openalex.org/W3104615765","https://openalex.org/W3104691427","https://openalex.org/W3111739957","https://openalex.org/W3112115950","https://openalex.org/W3112739278","https://openalex.org/W3127831386","https://openalex.org/W3128027283","https://openalex.org/W3132570160","https://openalex.org/W3136173905","https://openalex.org/W3153890562","https://openalex.org/W3156445793","https://openalex.org/W3157331533","https://openalex.org/W3160841033","https://openalex.org/W3162244132","https://openalex.org/W3171819295","https://openalex.org/W3172173631","https://openalex.org/W3177128792","https://openalex.org/W3181520075","https://openalex.org/W3183601864","https://openalex.org/W3184813631","https://openalex.org/W3198511875","https://openalex.org/W3201286448","https://openalex.org/W3204715535","https://openalex.org/W3205172848","https://openalex.org/W3207267053","https://openalex.org/W4210818611","https://openalex.org/W4211092666","https://openalex.org/W4220840380","https://openalex.org/W4225383331","https://openalex.org/W4225982742","https://openalex.org/W4235705169","https://openalex.org/W4285224425","https://openalex.org/W4285600752","https://openalex.org/W4288106846","https://openalex.org/W4288348739","https://openalex.org/W4288363925","https://openalex.org/W4294891500","https://openalex.org/W4312500461","https://openalex.org/W4320013936","https://openalex.org/W4320085528","https://openalex.org/W6600428322","https://openalex.org/W6637162671","https://openalex.org/W6732943021","https://openalex.org/W6734028196","https://openalex.org/W6734354522","https://openalex.org/W6739088070","https://openalex.org/W6756857055","https://openalex.org/W6758947735","https://openalex.org/W6761100157","https://openalex.org/W6763390694","https://openalex.org/W6767032602","https://openalex.org/W6767095891","https://openalex.org/W6769150122","https://openalex.org/W6769361836","https://openalex.org/W6781185821","https://openalex.org/W6782244155","https://openalex.org/W6785158770","https://openalex.org/W6786861377","https://openalex.org/W6794167868","https://openalex.org/W6798543208","https://openalex.org/W6810016765"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W2482350142","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4380075502","https://openalex.org/W4385421777","https://openalex.org/W2971552217"],"abstract_inverted_index":{"Adversarial":[0,77],"attacks":[1,19],"have":[2,20],"threatened":[3],"the":[4,14,25,40,45,49,60,100,107,115,122,138],"credibility":[5],"of":[6,16,27,63,102,140,162],"machine":[7,142,166],"learning":[8,83,143,167],"models":[9],"and":[10,30,89,111,151],"cast":[11],"doubts":[12],"over":[13],"integrity":[15],"data.":[17],"The":[18],"created":[21,164],"much":[22],"harm":[23],"in":[24,43,119],"fields":[26],"computer":[28],"vision,":[29],"natural":[31],"language":[32],"processing.":[33],"In":[34],"this":[35],"paper,":[36],"we":[37,105],"focus":[38],"on":[39,73,95,146],"adversarial":[41,87,154,171],"attack,":[42,47],"particular":[44],"poisoning":[46],"against":[48,65],"network":[50],"intrusion":[51,72],"detection":[52],"system":[53],"(NIDS),":[54],"which":[55,80],"is":[56],"often":[57],"viewed":[58],"as":[59],"first":[61],"line":[62],"defense":[64],"cyber":[66],"threats.":[67],"We":[68,136],"develop":[69],"an":[70,92],"Anomaly-based":[71],"IoT":[74,96,149],"networks":[75],"Generative":[76],"Network":[78],"(AIGAN),":[79],"uses":[81],"deep":[82],"techniques":[84],"to":[85,90],"generate":[86],"data":[88,113],"conduct":[91],"anomaly":[93],"attack":[94],"networks.":[97],"To":[98],"evaluate":[99],"effectiveness":[101],"our":[103],"generator,":[104],"measure":[106],"similarities":[108],"between":[109],"real":[110,148],"fake":[112,153],"using":[114],"Jaccard":[116],"similarity":[117],"index,":[118],"addition":[120],"comparing":[121],"F1-scores":[123],"from":[124],"four":[125],"generic":[126],"algorithms:":[127],"multilayer":[128],"perception,":[129],"logistic":[130],"regression,":[131],"decision":[132],"tree,":[133],"random":[134],"forest.":[135],"contrast":[137],"performance":[139],"ten":[141],"classifiers":[144],"experimented":[145],"two":[147],"datasets":[150],"their":[152],"samples.":[155],"Our":[156],"work":[157],"highlights":[158],"a":[159],"vulnerable":[160],"side":[161],"NIDS":[163],"by":[165],"when":[168],"attacked":[169],"with":[170],"perturbation.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
