{"id":"https://openalex.org/W7084049546","doi":"https://doi.org/10.1109/tai.2025.3615565","title":"Securing IoT: Unveiling Attacks With Multiview-Multitask Learning","display_name":"Securing IoT: Unveiling Attacks With Multiview-Multitask Learning","publication_year":2025,"publication_date":"2025-10-01","ids":{"openalex":"https://openalex.org/W7084049546","doi":"https://doi.org/10.1109/tai.2025.3615565"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2025.3615565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2025.3615565","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Transactions on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://umu.diva-portal.org/smash/get/diva2:2007098/FULLTEXT01","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Urkhimbam Boby Clinton","orcid":"https://orcid.org/0000-0002-1227-125X"},"institutions":[{"id":"https://openalex.org/I16471300","display_name":"Manipur University","ror":"https://ror.org/03964fn67","country_code":"IN","type":"education","lineage":["https://openalex.org/I16471300"]},{"id":"https://openalex.org/I76253773","display_name":"Central Agricultural University","ror":"https://ror.org/03rs2w544","country_code":"IN","type":"education","lineage":["https://openalex.org/I76253773"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Urkhimbam Boby Clinton","raw_affiliation_strings":["Department of Computer Science, Manipur University (a Central University), Imphal, India"],"raw_orcid":"https://orcid.org/0000-0002-1227-125X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Manipur University (a Central University), Imphal, India","institution_ids":["https://openalex.org/I16471300","https://openalex.org/I76253773"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Nazrul Hoque","orcid":"https://orcid.org/0000-0003-2428-8574"},"institutions":[{"id":"https://openalex.org/I16471300","display_name":"Manipur University","ror":"https://ror.org/03964fn67","country_code":"IN","type":"education","lineage":["https://openalex.org/I16471300"]},{"id":"https://openalex.org/I76253773","display_name":"Central Agricultural University","ror":"https://ror.org/03rs2w544","country_code":"IN","type":"education","lineage":["https://openalex.org/I76253773"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nazrul Hoque","raw_affiliation_strings":["Department of Computer Science, Manipur University (a Central University), Imphal, India"],"raw_orcid":"https://orcid.org/0000-0003-2428-8574","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Manipur University (a Central University), Imphal, India","institution_ids":["https://openalex.org/I16471300","https://openalex.org/I76253773"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shahid Raza","orcid":"https://orcid.org/0000-0001-8192-0893"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shahid Raza","raw_affiliation_strings":["School of Computing Science, University of Glasgow, Scotland, G12 8RZ3, U.K"],"raw_orcid":"https://orcid.org/0000-0001-8192-0893","affiliations":[{"raw_affiliation_string":"School of Computing Science, University of Glasgow, Scotland, G12 8RZ3, U.K","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"last","author":{"id":null,"display_name":"Monowar Bhuyan","orcid":"https://orcid.org/0000-0002-9842-7840"},"institutions":[{"id":"https://openalex.org/I90267481","display_name":"Ume\u00e5 University","ror":"https://ror.org/05kb8h459","country_code":"SE","type":"education","lineage":["https://openalex.org/I90267481"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Monowar Bhuyan","raw_affiliation_strings":["Department of Computing Science, Ume&#x00E5; University, Ume&#x00E5;, Sweden"],"raw_orcid":"https://orcid.org/0000-0002-9842-7840","affiliations":[{"raw_affiliation_string":"Department of Computing Science, Ume&#x00E5; University, Ume&#x00E5;, Sweden","institution_ids":["https://openalex.org/I90267481"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3197,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58830493,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"7","issue":"4","first_page":"2332","last_page":"2345"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10310","display_name":"Corrosion Behavior and Inhibition","score":0.3440999984741211,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10310","display_name":"Corrosion Behavior and Inhibition","score":0.3440999984741211,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10736","display_name":"Hydrogen embrittlement and corrosion behaviors in metals","score":0.2134000062942505,"subfield":{"id":"https://openalex.org/subfields/2506","display_name":"Metals and Alloys"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12938","display_name":"Material Selection and Properties","score":0.06019999831914902,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.685699999332428},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6740999817848206},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6036999821662903},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5978999733924866},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.534600019454956},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4878999888896942},{"id":"https://openalex.org/keywords/attack-surface","display_name":"Attack surface","score":0.47209998965263367},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4596000015735626}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8345000147819519},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.685699999332428},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6740999817848206},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6036999821662903},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5978999733924866},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.534600019454956},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4878999888896942},{"id":"https://openalex.org/C2776576444","wikidata":"https://www.wikidata.org/wiki/Q303569","display_name":"Attack surface","level":2,"score":0.47209998965263367},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4596000015735626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4555000066757202},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.38040000200271606},{"id":"https://openalex.org/C65856478","wikidata":"https://www.wikidata.org/wiki/Q3991682","display_name":"Attack model","level":2,"score":0.3767000138759613},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37220001220703125},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.37209999561309814},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3684000074863434},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.35280001163482666},{"id":"https://openalex.org/C2780741293","wikidata":"https://www.wikidata.org/wiki/Q4818019","display_name":"Attack patterns","level":3,"score":0.34040001034736633},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2985000014305115},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.28940001130104065},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.27000001072883606},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2533000111579895},{"id":"https://openalex.org/C140547941","wikidata":"https://www.wikidata.org/wiki/Q7797194","display_name":"Threat model","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tai.2025.3615565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2025.3615565","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Transactions on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:DiVA.org:umu-245603","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-245603","pdf_url":"https://umu.diva-portal.org/smash/get/diva2:2007098/FULLTEXT01","source":{"id":"https://openalex.org/S4306400653","display_name":"Diva portal (Dalarna University Library)","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:zenodo.org:17972982","is_oa":true,"landing_page_url":"https://doi.org/10.1109/TAI.2025.3615565","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:DiVA.org:umu-245603","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-245603","pdf_url":"https://umu.diva-portal.org/smash/get/diva2:2007098/FULLTEXT01","source":{"id":"https://openalex.org/S4306400653","display_name":"Diva portal (Dalarna University Library)","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6187325119972229,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1399849510","display_name":null,"funder_award_id":"72301133","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7941953797","display_name":null,"funder_award_id":"72204113","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":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7084049546.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,171],"rapid":[2],"expansion":[3],"and":[4,18,32,62,70,92,121,130,140,146,162,169,186],"use":[5],"of":[6,21,107,184,198],"day-to-day":[7],"IoT":[8,57,159],"applications,":[9],"cybercriminals":[10],"are":[11,19,59],"exploiting":[12],"an":[13],"increasingly":[14],"wide":[15],"attack":[16,116,118,122],"surface":[17],"capable":[20],"executing":[22],"many":[23],"successful":[24],"attacks,":[25],"leading":[26],"to":[27,50,111,136],"significant":[28],"losses":[29],"for":[30,67,96],"individuals":[31],"organizations.":[33],"The":[34,100,125,148,181,196],"existing":[35],"defense":[36,72],"mechanisms":[37],"often":[38],"rely":[39],"on":[40],"single-view,":[41],"single-task":[42],"models":[43],"that":[44,87],"utilize":[45],"a":[46,79],"single":[47],"feature":[48,191],"set":[49],"perform":[51,112],"one":[52,163],"specific":[53],"task.":[54],"However,":[55],"modern":[56],"systems":[58],"multifaceted,":[60],"heterogeneous,":[61],"resource-constrained,":[63],"posing":[64],"considerable":[65],"challenges":[66],"developing":[68],"unified":[69],"scalable":[71],"solutions.":[73],"To":[74],"address":[75],"this,":[76],"we":[77],"propose":[78],"novel":[80],"hybrid":[81],"model":[82,101,126,152,172],"called":[83],"M<sup":[84,149,199],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[85,150,200,210],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>VT":[86,151,201],"integrates":[88],"Multi-View":[89],"Learning":[90,94],"(MVL)":[91],"Multi-Task":[93],"(MTL)":[95],"effective":[97],"cyber-attack":[98],"defense.":[99],"simultaneously":[102],"processes":[103],"three":[104,113],"distinct":[105],"subsets":[106],"relevant":[108],"features":[109],"(views)":[110],"interrelated":[114],"tasks:":[115],"detection,":[117],"category":[119],"classification,":[120],"type":[123],"classification.":[124],"leverages":[127],"AutoEncoder":[128],"(AE)":[129],"Long":[131],"Short-Term":[132],"Memory":[133],"(LSTM)":[134],"networks":[135],"extract":[137],"task-specific":[138],"spatial":[139],"temporal":[141],"features,":[142],"enhancing":[143],"both":[144],"efficiency":[145],"cost-effectiveness.":[147],"is":[153,202],"evaluated":[154],"using":[155],"four":[156],"publicly":[157,203],"available":[158,204],"benchmark":[160],"datasets":[161],"testbed":[164],"dataset.":[165],"Across":[166],"all":[167],"tasks":[168],"datasets,":[170],"achieves":[173],"over":[174],"96%":[175],"accuracy,":[176],"consistently":[177],"outperforming":[178],"state-of-the-art":[179],"approaches.":[180],"parallel":[182],"execution":[183],"MVL":[185],"MTL,":[187],"combined":[188],"with":[189],"taskspecific":[190],"subsets,":[192],"significantly":[193],"boosts":[194],"performance.":[195],"implementation":[197],"in":[205],"our":[206],"code":[207],"repository":[208],"<sup":[209],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-02T13:48:15.688549","created_date":"2025-10-10T00:00:00"}