{"id":"https://openalex.org/W4392175433","doi":"https://doi.org/10.1109/globecom54140.2023.10437120","title":"Attention-Based Interpretable Semi-Supervised Federated Learning for Intrusion Detection in IoT Wireless Networks","display_name":"Attention-Based Interpretable Semi-Supervised Federated Learning for Intrusion Detection in IoT Wireless Networks","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4392175433","doi":"https://doi.org/10.1109/globecom54140.2023.10437120"},"language":"en","primary_location":{"id":"doi:10.1109/globecom54140.2023.10437120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom54140.2023.10437120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2023 - 2023 IEEE Global Communications Conference","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101391816","display_name":"Thai Vu Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I39481719","display_name":"Institut National de la Recherche Scientifique","ror":"https://ror.org/04td37d32","country_code":"CA","type":"education","lineage":["https://openalex.org/I39481719","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Thai Vu Nguyen","raw_affiliation_strings":["Institut National de la Recherche Scientifique (INRS), University of Qu&#x00E9;bec,Montr&#x00E9;al,QC,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut National de la Recherche Scientifique (INRS), University of Qu&#x00E9;bec,Montr&#x00E9;al,QC,Canada","institution_ids":["https://openalex.org/I39481719"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029986211","display_name":"Long Bao Le","orcid":"https://orcid.org/0000-0003-3577-6530"},"institutions":[{"id":"https://openalex.org/I39481719","display_name":"Institut National de la Recherche Scientifique","ror":"https://ror.org/04td37d32","country_code":"CA","type":"education","lineage":["https://openalex.org/I39481719","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Long Bao Le","raw_affiliation_strings":["Institut National de la Recherche Scientifique (INRS), University of Qu&#x00E9;bec,Montr&#x00E9;al,QC,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut National de la Recherche Scientifique (INRS), University of Qu&#x00E9;bec,Montr&#x00E9;al,QC,Canada","institution_ids":["https://openalex.org/I39481719"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39481719"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6832","last_page":"6837"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"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":1.0,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9991999864578247,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7629332542419434},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.7267709374427795},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.7236664295196533},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5655213594436646},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5004544258117676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4576927125453949},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4237977862358093},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.42042970657348633},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3801282048225403},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.32011377811431885},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21470510959625244},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.20587420463562012},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11471128463745117}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7629332542419434},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7267709374427795},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.7236664295196533},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5655213594436646},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5004544258117676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4576927125453949},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4237977862358093},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.42042970657348633},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3801282048225403},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.32011377811431885},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21470510959625244},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.20587420463562012},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11471128463745117}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom54140.2023.10437120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom54140.2023.10437120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2023 - 2023 IEEE Global Communications Conference","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":16,"referenced_works":["https://openalex.org/W195047088","https://openalex.org/W2101109743","https://openalex.org/W2170892587","https://openalex.org/W2984353870","https://openalex.org/W3045736930","https://openalex.org/W3047132966","https://openalex.org/W3048191395","https://openalex.org/W3130916947","https://openalex.org/W3171802458","https://openalex.org/W3174086521","https://openalex.org/W3185153723","https://openalex.org/W3216660278","https://openalex.org/W4211226080","https://openalex.org/W4220810976","https://openalex.org/W4221152215","https://openalex.org/W6728757088"],"related_works":["https://openalex.org/W4245926026","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W2625093826","https://openalex.org/W4200598720","https://openalex.org/W2921026492","https://openalex.org/W4247463117","https://openalex.org/W4361251261","https://openalex.org/W3031181660","https://openalex.org/W4238100021"],"abstract_inverted_index":{"Intrusion":[0],"detection":[1,92,138,223],"is":[2],"a":[3,44,82,132,164],"crucial":[4,165],"task":[5],"to":[6,27,38,47,81,109,152,183,194,202],"ensure":[7],"the":[8,11,68,147,171,175,185,204,213,221],"security":[9],"of":[10,13,158,187,206],"Internet":[12],"Things":[14],"(IoT)":[15],"wireless":[16],"networks.":[17,141],"While":[18],"different":[19],"Machine":[20],"Learning":[21,56],"(ML)":[22],"methods":[23,114],"have":[24],"been":[25],"leveraged":[26],"detect":[28],"network":[29,159],"intrusion,":[30],"they":[31],"often":[32],"require":[33],"data":[34,60,122,166,215],"from":[35],"multiple":[36],"devices":[37,64],"be":[39,105,124],"collected":[40],"and":[41,78,120,127,161,190],"stored":[42],"on":[43,96,155],"central":[45],"server":[46,83],"train":[48],"underlying":[49],"ML":[50,98,172],"models,":[51],"raising":[52],"privacy":[53,61],"concerns.":[54],"Federated":[55],"(FL)":[57],"can":[58,65],"preserve":[59],"where":[62],"local":[63,76],"iteratively":[66],"update":[67],"model":[69,85,173],"parameters":[70],"trained":[71],"by":[72],"using":[73,99,174],"their":[74],"own":[75],"datasets":[77],"send":[79],"them":[80],"for":[84,136],"ag-gregation.":[86],"Moreover,":[87],"most":[88],"existing":[89],"ML-based":[90],"intrusion":[91,137,222],"designs":[93],"are":[94],"based":[95],"supervised":[97],"labeled":[100,119],"data,":[101],"which":[102],"may":[103],"not":[104],"available":[106],"or":[107],"time-consuming":[108],"build.":[110],"Therefore,":[111],"semi-supervised":[112,133],"learning":[113],"that":[115,212],"effectively":[116],"utilize":[117],"both":[118],"unlabeled":[121],"would":[123],"very":[125],"desirable":[126],"necessary.":[128],"This":[129],"paper":[130],"proposes":[131],"FL":[134,176],"method":[135],"in":[139],"IoT":[140],"Specifically,":[142],"our":[143,188,207],"proposed":[144,214],"framework":[145],"leverages":[146],"attention-based":[148],"architecture":[149],"called":[150],"TabNet":[151],"selec-tively":[153],"focus":[154],"important":[156],"features":[157],"flow":[160],"we":[162],"propose":[163],"preparation":[167],"procedure":[168,217],"before":[169],"training":[170],"approach.":[177],"We":[178,197,209],"conduct":[179],"extensive":[180],"numerical":[181],"studies":[182],"demonstrate":[184],"effectiveness":[186],"approach":[189],"compare":[191],"its":[192],"performance":[193],"other":[195],"baselines.":[196],"also":[198,210],"present":[199],"empirical":[200],"evidence":[201],"support":[203],"interpretability":[205],"method.":[208],"show":[211],"pre-processing":[216],"indeed":[218],"greatly":[219],"enhances":[220],"performance.":[224],"<sup":[225],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[226],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[227]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
