{"id":"https://openalex.org/W4386214453","doi":"https://doi.org/10.1109/csr57506.2023.10224976","title":"A Feature-Aware Semi-Supervised Learning Approach for Automotive Ethernet","display_name":"A Feature-Aware Semi-Supervised Learning Approach for Automotive Ethernet","publication_year":2023,"publication_date":"2023-07-31","ids":{"openalex":"https://openalex.org/W4386214453","doi":"https://doi.org/10.1109/csr57506.2023.10224976"},"language":"en","primary_location":{"id":"doi:10.1109/csr57506.2023.10224976","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csr57506.2023.10224976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Cyber Security and Resilience (CSR)","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/A5062838421","display_name":"Kabid Hassan Shibly","orcid":null},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kabid Hassan Shibly","raw_affiliation_strings":["Nara Institute of Science and Technology,Division of Information Science,Ikoma,Nara,Japan","Division of Information Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology,Division of Information Science,Ikoma,Nara,Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Division of Information Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012836895","display_name":"Md Delwar Hossain","orcid":"https://orcid.org/0000-0002-5968-0704"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Md Delwar Hossain","raw_affiliation_strings":["Nara Institute of Science and Technology,Division of Information Science,Ikoma,Nara,Japan","Division of Information Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology,Division of Information Science,Ikoma,Nara,Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Division of Information Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014154262","display_name":"Hiroyuki Inoue","orcid":"https://orcid.org/0000-0003-4308-9343"},"institutions":[{"id":"https://openalex.org/I168356945","display_name":"Kyoto Sangyo University","ror":"https://ror.org/05t70xh16","country_code":"JP","type":"education","lineage":["https://openalex.org/I168356945"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Inoue","raw_affiliation_strings":["Kyoto Sangyo University,Faculty of Info. Science and Engrg.,Kyoto,Japan","Faculty of Info. Science and Engrg., Kyoto Sangyo University, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto Sangyo University,Faculty of Info. Science and Engrg.,Kyoto,Japan","institution_ids":["https://openalex.org/I168356945"]},{"raw_affiliation_string":"Faculty of Info. Science and Engrg., Kyoto Sangyo University, Kyoto, Japan","institution_ids":["https://openalex.org/I168356945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110510380","display_name":"Yuzo Taenaka","orcid":null},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuzo Taenaka","raw_affiliation_strings":["Nara Institute of Science and Technology,Division of Information Science,Ikoma,Nara,Japan","Division of Information Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology,Division of Information Science,Ikoma,Nara,Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Division of Information Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084740320","display_name":"Youki Kadobayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Youki Kadobayashi","raw_affiliation_strings":["Nara Institute of Science and Technology,Division of Information Science,Ikoma,Nara,Japan","Division of Information Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology,Division of Information Science,Ikoma,Nara,Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Division of Information Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7001,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.96434898,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"426","last_page":"431"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9973000288009644,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7252147793769836},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.6115602850914001},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5990287065505981},{"id":"https://openalex.org/keywords/ethernet","display_name":"Ethernet","score":0.5899187326431274},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.45286956429481506},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.38259145617485046},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19787809252738953},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19340866804122925}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7252147793769836},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.6115602850914001},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5990287065505981},{"id":"https://openalex.org/C172173386","wikidata":"https://www.wikidata.org/wiki/Q79984","display_name":"Ethernet","level":2,"score":0.5899187326431274},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.45286956429481506},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.38259145617485046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19787809252738953},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19340866804122925},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/csr57506.2023.10224976","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csr57506.2023.10224976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Cyber Security and Resilience (CSR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2414564754","https://openalex.org/W2770686618","https://openalex.org/W2783136744","https://openalex.org/W2959120033","https://openalex.org/W2970148885","https://openalex.org/W2979202956","https://openalex.org/W3042693420","https://openalex.org/W3092232275","https://openalex.org/W3094375777","https://openalex.org/W3105105644","https://openalex.org/W3112856724","https://openalex.org/W3128979643","https://openalex.org/W3134637817","https://openalex.org/W3154787567","https://openalex.org/W3159965829","https://openalex.org/W3171821768","https://openalex.org/W3180202571","https://openalex.org/W4205353725","https://openalex.org/W4229643499","https://openalex.org/W4281382603","https://openalex.org/W4286285588","https://openalex.org/W4311080744","https://openalex.org/W4312050763","https://openalex.org/W6748117183","https://openalex.org/W6800517628"],"related_works":["https://openalex.org/W4382644535","https://openalex.org/W2522768275","https://openalex.org/W2352938035","https://openalex.org/W2351672553","https://openalex.org/W2373392303","https://openalex.org/W2765894405","https://openalex.org/W2388281117","https://openalex.org/W2377701158","https://openalex.org/W2374528812","https://openalex.org/W2373090658"],"abstract_inverted_index":{"The":[0,145],"proliferation":[1],"of":[2,23,42,65,75,94,99,114,140,143,162,212,256],"devices":[3,67],"aimed":[4],"at":[5],"enhancing":[6],"vehicle":[7],"and":[8,68,79,108,183,199,232,238,254],"driver":[9],"safety":[10],"or":[11],"providing":[12],"various":[13,106],"services":[14],"to":[15,45,86,105,133,151,179,195,250],"drivers":[16],"has":[17,119],"resulted":[18],"in":[19,122,154],"a":[20,27,110],"considerable":[21],"amount":[22],"network":[24,29],"traffic.":[25],"Employing":[26],"sophisticated":[28],"protocol":[30],"like":[31],"Automotive":[32,88,95,155],"Ethernet":[33,84,89,96,156],"is":[34,53,97,103,127],"crucial":[35],"for":[36,72,215,220,225,229,235,248],"expediently":[37],"processing":[38],"the":[39,46,56,73,92,131,137,160,180,192,241,252,257],"high":[40],"volume":[41],"traffic":[43],"routed":[44],"In-Vehicle":[47],"Network":[48],"(IVN),":[49],"as":[50],"its":[51,125],"transmission":[52],"dependent":[54],"on":[55],"specific":[57],"function":[58],"being":[59],"performed.":[60],"T":[61],"he":[62],"increased":[63],"interconnectivity":[64],"in-vehicle":[66],"external":[69],"networks":[70],"allows":[71],"transfer":[74],"potential":[76,121],"attack":[77,197,209],"vectors":[78],"associated":[80],"vulnerabilities":[81,107],"from":[82,186],"an":[83,87,149,207],"infrastructure":[85],"framework.":[90],"As":[91],"architecture":[93],"comprised":[98],"heterogeneous":[100],"networks,":[101],"it":[102],"susceptible":[104],"remains":[109],"largely":[111],"uncharted":[112],"area":[113,142],"research.":[115,144],"While":[116],"supervised":[117],"learning":[118,181],"demonstrated":[120],"this":[123,141,189],"domain,":[124],"application":[126],"still":[128],"limited":[129],"by":[130,167],"vulnerability":[132],"unknown":[134],"attacks,":[135,218,237],"given":[136],"nascent":[138],"nature":[139],"proposed":[146],"research":[147,205],"advances":[148],"approach":[150],"detecting":[152],"intrusion":[153,246],"data,":[157],"which":[158],"leverages":[159],"power":[161],"semi-supervised":[163],"learning.":[164],"In":[165],"essence,":[166],"augmenting":[168],"data":[169],"with":[170],"selectively":[171],"identifying":[172],"key":[173],"features":[174],"that":[175],"are":[176],"most":[177],"relevant":[178],"objective":[182],"isolating":[184],"them":[185],"extraneous":[187],"noise,":[188],"method":[190],"enhances":[191],"algorithm's":[193],"ability":[194],"discern":[196],"activity":[198],"ultimately":[200],"achieves":[201],"superior":[202],"performance.":[203],"Our":[204],"indicates":[206],"average":[208],"detection":[210],"rate":[211],"98.8":[213],"%":[214,224,234],"CAN":[216,221],"DoS":[217],"97.8%":[219],"Reply,":[222],"96.1":[223],"PTP":[226],"Sync,":[227],"92.4%":[228],"Frame":[230],"injection,":[231],"91.1":[233],"Switch":[236],"we":[239],"replicated":[240],"experiment":[242],"across":[243],"multiple":[244],"IVN":[245],"datasets":[247],"comparison":[249],"verify":[251],"credibility":[253],"robustness":[255],"findings.":[258]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}