{"id":"https://openalex.org/W4411203095","doi":"https://doi.org/10.1109/jiot.2025.3576219","title":"A Joint Reconstruction-Triplet Loss Autoencoder Approach Toward Unseen Attack Detection in IoV Networks","display_name":"A Joint Reconstruction-Triplet Loss Autoencoder Approach Toward Unseen Attack Detection in IoV Networks","publication_year":2025,"publication_date":"2025-06-11","ids":{"openalex":"https://openalex.org/W4411203095","doi":"https://doi.org/10.1109/jiot.2025.3576219"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3576219","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3576219","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/A5081092345","display_name":"Julia Boone","orcid":"https://orcid.org/0009-0001-0647-8211"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julia Boone","raw_affiliation_strings":["Holcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, SC, USA","Holcombe Department of Electrical and Computer Engineering, Clemson University, USA"],"raw_orcid":"https://orcid.org/0009-0001-0647-8211","affiliations":[{"raw_affiliation_string":"Holcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, SC, USA","institution_ids":["https://openalex.org/I8078737"]},{"raw_affiliation_string":"Holcombe Department of Electrical and Computer Engineering, Clemson University, USA","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083576650","display_name":"Tolunay Seyfi","orcid":"https://orcid.org/0000-0003-0633-9593"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tolunay Seyfi","raw_affiliation_strings":["Holcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, SC, USA","Holcombe Department of Electrical and Computer Engineering, Clemson University, USA"],"raw_orcid":"https://orcid.org/0000-0003-0633-9593","affiliations":[{"raw_affiliation_string":"Holcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, SC, USA","institution_ids":["https://openalex.org/I8078737"]},{"raw_affiliation_string":"Holcombe Department of Electrical and Computer Engineering, Clemson University, USA","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035395012","display_name":"Fatemeh Afghah","orcid":"https://orcid.org/0000-0002-2315-1173"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fatemeh Afghah","raw_affiliation_strings":["Holcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, SC, USA","Holcombe Department of Electrical and Computer Engineering, Clemson University, USA"],"raw_orcid":"https://orcid.org/0000-0002-2315-1173","affiliations":[{"raw_affiliation_string":"Holcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, SC, USA","institution_ids":["https://openalex.org/I8078737"]},{"raw_affiliation_string":"Holcombe Department of Electrical and Computer Engineering, Clemson University, USA","institution_ids":["https://openalex.org/I8078737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I8078737"],"apc_list":null,"apc_paid":null,"fwci":4.0005,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.93946139,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"12","issue":"16","first_page":"33258","last_page":"33270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9973999857902527,"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":0.9973999857902527,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9955000281333923,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9901999831199646,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8462758660316467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8049299716949463},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.7276527285575867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4437129497528076},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24914687871932983}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8462758660316467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8049299716949463},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.7276527285575867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4437129497528076},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24914687871932983},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3576219","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3576219","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":[],"awards":[{"id":"https://openalex.org/G1345759661","display_name":null,"funder_award_id":"CNS-2232048","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3326160241","display_name":null,"funder_award_id":"CNS- 2318726","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309106","display_name":"Clemson University","ror":"https://ror.org/037s24f05"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2096733369","https://openalex.org/W2148143831","https://openalex.org/W2555676925","https://openalex.org/W2774161712","https://openalex.org/W2790057819","https://openalex.org/W2810674385","https://openalex.org/W2811266402","https://openalex.org/W2892035503","https://openalex.org/W2940895343","https://openalex.org/W2979205635","https://openalex.org/W2980002424","https://openalex.org/W2982407733","https://openalex.org/W2987793235","https://openalex.org/W3004207920","https://openalex.org/W3012082538","https://openalex.org/W3133666793","https://openalex.org/W3134941379","https://openalex.org/W4210674249","https://openalex.org/W4229080720","https://openalex.org/W4256141317","https://openalex.org/W4288096081","https://openalex.org/W4289528726","https://openalex.org/W4372311864","https://openalex.org/W4387805894","https://openalex.org/W4390414087","https://openalex.org/W4392405759","https://openalex.org/W4393405277","https://openalex.org/W4398205979","https://openalex.org/W6751494907","https://openalex.org/W6757844995","https://openalex.org/W6810408786","https://openalex.org/W6810979106","https://openalex.org/W6848480781"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W4220775285"],"abstract_inverted_index":{"Internet":[0],"of":[1,30,65,91,99,134,146,162,234],"Vehicles":[2],"(IoV)":[3],"systems,":[4,55,104],"while":[5,241],"offering":[6],"significant":[7],"advancements":[8],"in":[9,138],"transportation":[10],"efficiency":[11],"and":[12,35,38,88,97,115,148,157,183,211,214],"safety,":[13],"introduce":[14],"substantial":[15],"security":[16,77,106],"vulnerabilities":[17],"due":[18],"to":[19,152,224,248],"their":[20],"highly":[21,41],"interconnected":[22],"nature.":[23],"These":[24],"dynamic":[25],"systems":[26,81],"produce":[27],"massive":[28],"amounts":[29],"data":[31,100,130,210],"between":[32,71,212],"vehicles,":[33],"infrastructure,":[34],"cloud":[36],"services":[37],"present":[39,120],"a":[40,45,143,159],"distributed":[42],"framework":[43],"with":[44,204],"wide":[46],"attack":[47,136,202],"surface.":[48],"In":[49],"considering":[50],"network-centered":[51],"attacks":[52,56],"on":[53,127,171,208,217],"IoV":[54,103,139,190],"such":[57],"as":[58],"Denial-of-Service":[59],"(DoS)":[60],"can":[61],"prohibit":[62],"the":[63,76,84,95,132,154,163,188,232],"communication":[64],"essential":[66],"physical":[67],"traffic":[68],"safety":[69],"information":[70],"system":[72],"elements,":[73],"illustrating":[74],"that":[75,186,194,226],"concerns":[78,90],"for":[79,111,131,199],"these":[80,222],"go":[82],"beyond":[83],"traditional":[85,105],"confidentiality,":[86],"integrity,":[87],"availability":[89],"enterprise":[92],"systems.":[93],"Given":[94],"complexity":[96],"volume":[98],"generated":[101],"by":[102],"mechanisms":[107],"are":[108],"often":[109],"inadequate":[110],"accurately":[112],"detecting":[113],"sophisticated":[114],"evolving":[116],"cyberattacks.":[117],"Here,":[118],"we":[119],"an":[121],"unsupervised":[122],"autoencoder":[123,155],"method":[124,196],"trained":[125],"entirely":[126],"benign":[128,164,209],"network":[129,173],"purpose":[133],"unseen":[135,201],"detection":[137],"networks.":[140],"We":[141,167,192,220],"leverage":[142],"weighted":[144],"combination":[145],"reconstruction":[147],"triplet":[149],"margin":[150],"loss":[151],"guide":[153],"training":[156,165],"develop":[158],"diverse":[160],"representation":[161],"set.":[166],"conduct":[168],"extensive":[169],"experiments":[170],"recent":[172],"intrusion":[174],"datasets":[175],"from":[176,245],"two":[177],"different":[178],"application":[179],"domains,":[180],"industrial":[181],"IoT":[182],"home":[184],"IoT,":[185],"represent":[187],"modern":[189],"task.":[191],"show":[193,225],"our":[195,227],"performs":[197],"robustly":[198],"all":[200],"types,":[203],"roughly":[205],"99%":[206],"accuracy":[207],"97%":[213],"100%":[215],"performance":[216],"anomaly":[218],"data.":[219],"extend":[221],"results":[223,240],"model":[228],"is":[229],"adaptable":[230],"through":[231],"use":[233],"transfer":[235],"learning,":[236],"achieving":[237],"similarly":[238],"high":[239],"leveraging":[242],"domain":[243,247],"features":[244],"one":[246],"another.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-06-12T00:00:00"}
