{"id":"https://openalex.org/W4315630052","doi":"https://doi.org/10.1109/globecom48099.2022.10001461","title":"FTLIoT: A Federated Transfer Learning Framework for Securing IoT","display_name":"FTLIoT: A Federated Transfer Learning Framework for Securing IoT","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4315630052","doi":"https://doi.org/10.1109/globecom48099.2022.10001461"},"language":"en","primary_location":{"id":"doi:10.1109/globecom48099.2022.10001461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom48099.2022.10001461","pdf_url":null,"source":{"id":"https://openalex.org/S4363607705","display_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","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":"https://openalex.org/A5014662198","display_name":"Yazan Otoum","orcid":"https://orcid.org/0000-0002-5500-3060"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Yazan Otoum","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Ottawa,Canada","School of Electrical Engineering and Computer Science, University of Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa,Canada","institution_ids":["https://openalex.org/I153718931"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049570529","display_name":"Sai Krishna Yadlapalli","orcid":null},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sai Krishna Yadlapalli","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Ottawa,Canada","School of Electrical Engineering and Computer Science, University of Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa,Canada","institution_ids":["https://openalex.org/I153718931"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048076896","display_name":"Amiya Nayak","orcid":"https://orcid.org/0000-0002-4605-0500"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Amiya Nayak","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Ottawa,Canada","School of Electrical Engineering and Computer Science, University of Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa,Canada","institution_ids":["https://openalex.org/I153718931"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014662198"],"corresponding_institution_ids":["https://openalex.org/I153718931"],"apc_list":null,"apc_paid":null,"fwci":2.8111,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.93144208,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998999834060669,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9976000189781189,"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":0.868174135684967},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6395366787910461},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5469772815704346},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.5453339219093323},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5358506441116333},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5307044386863708},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5299535989761353},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5256677269935608},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5063353776931763},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4621129631996155},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4257003664970398},{"id":"https://openalex.org/keywords/anonymity","display_name":"Anonymity","score":0.4204271733760834},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.35492268204689026},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.32686036825180054},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.32507431507110596},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13242202997207642}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.868174135684967},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6395366787910461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5469772815704346},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.5453339219093323},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5358506441116333},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5307044386863708},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5299535989761353},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5256677269935608},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5063353776931763},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4621129631996155},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4257003664970398},{"id":"https://openalex.org/C178005623","wikidata":"https://www.wikidata.org/wiki/Q308859","display_name":"Anonymity","level":2,"score":0.4204271733760834},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.35492268204689026},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.32686036825180054},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.32507431507110596},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13242202997207642},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom48099.2022.10001461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom48099.2022.10001461","pdf_url":null,"source":{"id":"https://openalex.org/S4363607705","display_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2982857584","https://openalex.org/W3035037193","https://openalex.org/W3094068407","https://openalex.org/W3108630703","https://openalex.org/W3120953217","https://openalex.org/W3130916947","https://openalex.org/W3135091917","https://openalex.org/W3170510247","https://openalex.org/W3171802458","https://openalex.org/W3177095755","https://openalex.org/W3179054875","https://openalex.org/W3201779876","https://openalex.org/W3214163130","https://openalex.org/W4200095019","https://openalex.org/W4205354047","https://openalex.org/W4207064815","https://openalex.org/W4207072427","https://openalex.org/W4220895253","https://openalex.org/W4226092049","https://openalex.org/W4285813899","https://openalex.org/W6797075316"],"related_works":["https://openalex.org/W1966494590","https://openalex.org/W1593132758","https://openalex.org/W2117874351","https://openalex.org/W3183901164","https://openalex.org/W3135818718","https://openalex.org/W4290188444","https://openalex.org/W3167935049","https://openalex.org/W3003905048","https://openalex.org/W2253429366","https://openalex.org/W3127975138"],"abstract_inverted_index":{"The":[0,169],"growing":[1],"number":[2],"of":[3,5,41,68,139,151,161],"Internet":[4],"Things":[6],"(IoT)":[7],"applications":[8,21],"and":[9,22,24,38,52,95,111,128,148,164,166,179],"connected":[10],"devices":[11,23,59],"has":[12,45],"increased":[13],"the":[14,26,30,35,39,42,65,78,89,104,116,137,140,149,173,185],"chance":[15],"for":[16],"more":[17],"cyberattacks":[18],"against":[19],"those":[20],"emphasized":[25],"need":[27],"to":[28,34,48,62,98,102,135,184],"protect":[29],"IoT":[31,105],"networks.":[32],"Due":[33],"vast":[36],"network":[37],"anonymity":[40],"internet,":[43],"it":[44],"been":[46],"challenging":[47],"preserve":[49],"private":[50],"information":[51],"communication.":[53],"Although":[54],"most":[55],"systems":[56],"implement":[57],"security":[58,80],"(i.e.":[60],"firewalls)":[61],"avoid":[63],"this,":[64],"second":[66],"line":[67],"defence,":[69],"Intrusion":[70],"Detection":[71],"Systems":[72],"(IDSs),":[73],"are":[74,133],"critical":[75],"in":[76,159],"enhancing":[77],"system's":[79],"level.":[81],"This":[82],"paper":[83],"proposed":[84,141,174],"a":[85,144],"model":[86],"that":[87,172],"combines":[88],"two":[90],"machine":[91,187],"learning":[92,121,188],"techniques,":[93],"Federated":[94,153],"Transfer":[96,154],"Learning,":[97],"build":[99],"an":[100],"IDS":[101],"secure":[103],"networks":[106],"with":[107],"less":[108],"training":[109,165,181],"time":[110,182],"enhanced":[112],"performance":[113,138,162,178],"while":[114],"preserving":[115],"user's":[117],"data":[118],"privacy.":[119],"Deep":[120,124],"algorithms,":[122],"namely":[123],"Neural":[125,130],"Network":[126,131],"(DNN)":[127],"Convolutional":[129],"(CNN),":[132],"used":[134],"evaluate":[136],"framework":[142],"on":[143],"benchmark":[145],"dataset,":[146],"CSE-CIC-IDS2018,":[147],"feasibility":[150],"adopting":[152],"Learning":[155],"(FTL)":[156],"is":[157],"shown":[158],"terms":[160],"metrics":[163],"fine-tuning":[167],"time.":[168],"results":[170],"show":[171],"technique":[175],"can":[176],"increase":[177],"decrease":[180],"compared":[183],"traditional":[186],"techniques.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}