{"id":"https://openalex.org/W4406158176","doi":"https://doi.org/10.1109/jiot.2025.3526874","title":"Flow-Based IoT Intrusion Detection via Improved Generative Federated Distillation Learning","display_name":"Flow-Based IoT Intrusion Detection via Improved Generative Federated Distillation Learning","publication_year":2025,"publication_date":"2025-01-08","ids":{"openalex":"https://openalex.org/W4406158176","doi":"https://doi.org/10.1109/jiot.2025.3526874"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3526874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3526874","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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/A5100455067","display_name":"Zeyu Li","orcid":"https://orcid.org/0000-0002-3560-7844"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyu Li","raw_affiliation_strings":["School of Computer Science and the Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3560-7844","affiliations":[{"raw_affiliation_string":"School of Computer Science and the Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008726944","display_name":"Wenbin Yao","orcid":"https://orcid.org/0000-0002-5746-7715"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbin Yao","raw_affiliation_strings":["School of Computer Science and the Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5746-7715","affiliations":[{"raw_affiliation_string":"School of Computer Science and the Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080547041","display_name":"Juanjuan Luo","orcid":"https://orcid.org/0000-0001-8749-6317"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juanjuan Luo","raw_affiliation_strings":["School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8749-6317","affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023184421","display_name":"Zhibin Huang","orcid":"https://orcid.org/0000-0003-2819-927X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibin Huang","raw_affiliation_strings":["School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2819-927X","affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":3.503,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.91914492,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"12","issue":"10","first_page":"14797","last_page":"14811"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9879000186920166,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9761000275611877,"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":0.8438988924026489},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6409881711006165},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5190904140472412},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5003888607025146},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.46914997696876526},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4198583960533142},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38084352016448975},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3551541566848755},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.23831850290298462}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8438988924026489},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6409881711006165},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5190904140472412},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5003888607025146},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.46914997696876526},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4198583960533142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38084352016448975},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3551541566848755},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.23831850290298462},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3526874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3526874","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G7415212279","display_name":null,"funder_award_id":"U1836215","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2077488147","https://openalex.org/W2099940443","https://openalex.org/W2296509296","https://openalex.org/W2606697812","https://openalex.org/W2789828921","https://openalex.org/W2963197901","https://openalex.org/W2963306805","https://openalex.org/W2982682021","https://openalex.org/W3013100408","https://openalex.org/W3086579950","https://openalex.org/W3096448935","https://openalex.org/W3208655822","https://openalex.org/W4224315052","https://openalex.org/W4226319939","https://openalex.org/W4281701520","https://openalex.org/W4285127639","https://openalex.org/W4311167586","https://openalex.org/W4312494597","https://openalex.org/W4312748334","https://openalex.org/W4312893735","https://openalex.org/W4321608114","https://openalex.org/W4360993985","https://openalex.org/W4378188875","https://openalex.org/W4382281941","https://openalex.org/W4384103781","https://openalex.org/W4385210255","https://openalex.org/W4386584698","https://openalex.org/W4386840513","https://openalex.org/W4387007843","https://openalex.org/W4388505134","https://openalex.org/W4388765979","https://openalex.org/W4401326384","https://openalex.org/W4402157422","https://openalex.org/W4402817159","https://openalex.org/W6728757088","https://openalex.org/W6757139170","https://openalex.org/W6759238902","https://openalex.org/W6768632158","https://openalex.org/W6780224944","https://openalex.org/W6796484261","https://openalex.org/W6798692760"],"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":{"With":[0],"the":[1,27,35,49,69,89,100,136,142,145,154,159,179,189],"rapid":[2],"development":[3],"of":[4,31,37,51,74,91],"information":[5],"technology,":[6],"cybersecurity":[7],"issues":[8,30],"are":[9,17],"becoming":[10],"increasingly":[11],"prominent.":[12],"Existing":[13],"intrusion":[14,57,61,122,185],"detection":[15,62,123,186],"methods":[16],"mainly":[18],"based":[19,64,125],"on":[20,34,65,126,188],"centralized":[21],"machine":[22],"learning":[23,41,67,98,131],"algorithms,":[24],"which":[25,86,107],"overlook":[26],"data":[28,52,84],"privacy":[29,53],"edge":[32],"devices":[33],"Internet":[36],"Things.":[38],"Therefore,":[39],"federated":[40,66,92,97,129,183],"has":[42],"been":[43],"proposed":[44],"by":[45],"researchers":[46],"to":[47,102,144,152,163,165,171],"address":[48,115],"problems":[50],"and":[54],"leakage":[55],"in":[56,111],"detection.":[58],"However,":[59],"existing":[60,182],"algorithms":[63,187],"face":[68],"following":[70],"problems:":[71],"(1)":[72],"Lack":[73],"a":[75,104,150],"standard":[76],"network":[77,138],"traffic":[78,139],"feature":[79,169],"set;":[80],"(2)":[81],"Clients":[82],"exhibit":[83],"heterogeneity,":[85],"severely":[87],"impacts":[88],"training":[90],"learning;":[93],"(3)":[94],"Knowledge":[95],"distillation-based":[96],"requires":[99],"server":[101,148],"possess":[103],"proxy":[105],"dataset,":[106],"may":[108],"be":[109],"impractical":[110],"certain":[112],"situations.":[113],"To":[114],"these":[116],"issues,":[117],"this":[118],"paper":[119],"proposes":[120],"an":[121],"model":[124],"improved":[127],"generative":[128],"distillation":[130],"(FedGen+).":[132],"Specifically,":[133],"we":[134],"use":[135],"original":[137],"format":[140],"as":[141],"input":[143],"clients.":[146],"The":[147],"learns":[149],"generator":[151,160],"integrate":[153],"clients\u2019":[155],"label":[156],"information,":[157],"then":[158],"is":[161],"deployed":[162],"clients":[164],"generate":[166],"augmented":[167],"sample":[168],"representations":[170],"train":[172],"local":[173],"model.":[174],"Experimental":[175],"results":[176],"demonstrate":[177],"that":[178],"FedGen+":[180],"outperforms":[181],"learning-based":[184],"IoT":[190],"benchmark":[191],"datasets.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}