{"id":"https://openalex.org/W4401246761","doi":"https://doi.org/10.1109/access.2024.3437416","title":"Intrusion Detection System for Vehicular Networks Based on MobileNetV3","display_name":"Intrusion Detection System for Vehicular Networks Based on MobileNetV3","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401246761","doi":"https://doi.org/10.1109/access.2024.3437416"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3437416","doi":"https://doi.org/10.1109/access.2024.3437416","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3437416","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","norway-1","oarl","poland-100","russia-white-list-1","vabb-shw"],"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3437416","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080972723","display_name":"Shaoqiang Wang","orcid":"https://orcid.org/0000-0001-8520-3525","observed_orcids":["https://orcid.org/0000-0001-8520-3525"]},"institutions":[{"id":"https://openalex.org/I49232843","display_name":"Changchun University","ror":"https://ror.org/02an57k10","country_code":"CN","type":"education","lineage":["https://openalex.org/I49232843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoqiang Wang","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University, Changchun, China","institution_ids":["https://openalex.org/I49232843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006862404","display_name":"Y. Wang","orcid":"https://orcid.org/0009-0004-4569-0575","observed_orcids":["https://orcid.org/0009-0004-4569-0575"]},"institutions":[{"id":"https://openalex.org/I49232843","display_name":"Changchun University","ror":"https://ror.org/02an57k10","country_code":"CN","type":"education","lineage":["https://openalex.org/I49232843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhe Wang","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0004-4569-0575","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University, Changchun, China","institution_ids":["https://openalex.org/I49232843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102206706","display_name":"Baosen Zheng","orcid":"https://orcid.org/0009-0000-3074-8608","observed_orcids":["https://orcid.org/0009-0000-3074-8608"]},"institutions":[{"id":"https://openalex.org/I49232843","display_name":"Changchun University","ror":"https://ror.org/02an57k10","country_code":"CN","type":"education","lineage":["https://openalex.org/I49232843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baosen Zheng","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0000-3074-8608","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University, Changchun, China","institution_ids":["https://openalex.org/I49232843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110614034","display_name":"Jiahui Cheng","orcid":"https://orcid.org/0009-0006-0118-4819","observed_orcids":["https://orcid.org/0009-0006-0118-4819"]},"institutions":[{"id":"https://openalex.org/I49232843","display_name":"Changchun University","ror":"https://ror.org/02an57k10","country_code":"CN","type":"education","lineage":["https://openalex.org/I49232843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Cheng","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0006-0118-4819","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University, Changchun, China","institution_ids":["https://openalex.org/I49232843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100915831","display_name":"Yu Su","orcid":"https://orcid.org/0009-0001-0639-3947","observed_orcids":["https://orcid.org/0009-0001-0639-3947","https://orcid.org/0009-0007-7739-0181"]},"institutions":[{"id":"https://openalex.org/I49232843","display_name":"Changchun University","ror":"https://ror.org/02an57k10","country_code":"CN","type":"education","lineage":["https://openalex.org/I49232843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Su","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0007-7739-0181","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University, Changchun, China","institution_ids":["https://openalex.org/I49232843"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yinfei Dai","orcid":"https://orcid.org/0009-0001-3151-7227","observed_orcids":["https://orcid.org/0009-0001-3151-7227"]},"institutions":[{"id":"https://openalex.org/I49232843","display_name":"Changchun University","ror":"https://ror.org/02an57k10","country_code":"CN","type":"education","lineage":["https://openalex.org/I49232843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinfei Dai","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0001-3151-7227","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University, Changchun, China","institution_ids":["https://openalex.org/I49232843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I49232843"],"apc_list":{"value":1995,"currency":"USD","value_usd":1995},"apc_paid":{"value":1995,"currency":"USD","value_usd":1995},"fwci":3.4462,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.92886124,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":"12","issue":null,"first_page":"106285","last_page":"106302"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9970999956130981,"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":0.9970999956130981,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.0005000000237487257,"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/intrusion-detection","display_name":"intrusion detection","score":0.7680000066757202},{"id":"https://openalex.org/keywords/vehicular-networks","display_name":"vehicular networks","score":0.9980000257492065},{"id":"https://openalex.org/keywords/intelligent-connected-vehicles","display_name":"intelligent connected vehicles","score":0.843999981880188},{"id":"https://openalex.org/keywords/mobilenetv3","display_name":"MobileNetV3","score":0.9940000176429749},{"id":"https://openalex.org/keywords/lightweight-deep-learning-models","display_name":"lightweight deep learning","score":0.8579999804496765},{"id":"https://openalex.org/keywords/depthwise-separable-convolution","display_name":"depthwise separable convolution","score":0.8050000071525574},{"id":"https://openalex.org/keywords/squeeze-and-excitation-module","display_name":"squeeze-and-excitation module","score":0.9279999732971191},{"id":"https://openalex.org/keywords/malicious-traffic-detection","display_name":"malicious traffic detection","score":0.7519999742507935},{"id":"https://openalex.org/keywords/real-time-attack-detection","display_name":"real-time attack detection","score":0.5630000233650208},{"id":"https://openalex.org/keywords/resource-constrained-devices","display_name":"resource-constrained devices","score":0.6259999871253967},{"id":"https://openalex.org/keywords/car-hacking-dataset","display_name":"Car-Hacking dataset","score":0.8550000190734863},{"id":"https://openalex.org/keywords/cicids2017","display_name":"CICIDS2017","score":0.9350000023841858}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8583531379699707},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.8054187297821045},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.74127197265625},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5363119840621948},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5007848739624023},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.37806883454322815},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3752627968788147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.363770067691803},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10279905796051025}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3437416","doi":"https://doi.org/10.1109/access.2024.3437416","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3437416","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","norway-1","oarl","poland-100","russia-white-list-1","vabb-shw"],"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:21f42ccd287a43f69cc81ce5dae31fab","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/21f42ccd287a43f69cc81ce5dae31fab","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 106285-106302 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3437416","doi":"https://doi.org/10.1109/access.2024.3437416","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3437416","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","norway-1","oarl","poland-100","russia-white-list-1","vabb-shw"],"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.8970999717712402},{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.47999998927116394}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1985719683","https://openalex.org/W1992025196","https://openalex.org/W2041475188","https://openalex.org/W2096985690","https://openalex.org/W2168844280","https://openalex.org/W2207491215","https://openalex.org/W2324428474","https://openalex.org/W2545810962","https://openalex.org/W2548066934","https://openalex.org/W2618181979","https://openalex.org/W2759891682","https://openalex.org/W2789828921","https://openalex.org/W2799548584","https://openalex.org/W2944779197","https://openalex.org/W2945012921","https://openalex.org/W2958285686","https://openalex.org/W2979202956","https://openalex.org/W2980576170","https://openalex.org/W2981094074","https://openalex.org/W2982575942","https://openalex.org/W2989622188","https://openalex.org/W2994866269","https://openalex.org/W3010189555","https://openalex.org/W3034667690","https://openalex.org/W3038428620","https://openalex.org/W3043799819","https://openalex.org/W3092232275","https://openalex.org/W3129180259","https://openalex.org/W3133917079","https://openalex.org/W3178719887","https://openalex.org/W4200633417","https://openalex.org/W4285091698","https://openalex.org/W4315836528","https://openalex.org/W4362698768","https://openalex.org/W4366424700","https://openalex.org/W4367626660","https://openalex.org/W4380879328","https://openalex.org/W4386261706","https://openalex.org/W4390887143"],"related_works":["https://openalex.org/W7160761571","https://openalex.org/W4411010607","https://openalex.org/W4412862330","https://openalex.org/W7133801724","https://openalex.org/W4380879328","https://openalex.org/W7204732253","https://openalex.org/W7147904711","https://openalex.org/W4409760973","https://openalex.org/W7220991844","https://openalex.org/W4414648878"],"abstract_inverted_index":{"With":[0],"the":[1,53,70,77,145,159,186],"advancement":[2],"and":[3,7,55,85,95,104,139,148,153],"refinement":[4],"of":[5,58,142,156,189],"intelligence":[6],"connectivity,":[8],"intelligent":[9,26],"connected":[10,27],"vehicles":[11,28,182],"have":[12,29],"emerged":[13],"as":[14,76,89],"a":[15,63],"prominent":[16],"trend":[17],"in":[18,126],"contemporary":[19],"development.":[20],"Consequently,":[21],"invasion":[22],"attacks":[23,180],"targeting":[24],"these":[25],"also":[30,184],"arisen.":[31],"Mainstream":[32],"intrusion":[33,66,131,172],"detection":[34,67,132,173],"systems":[35],"(IDS)":[36],"based":[37],"on":[38,119,144,158,181],"deep":[39],"learning":[40],"technologies":[41],"can":[42],"address":[43],"malicious":[44,179],"traffic":[45],"infiltrations;":[46],"however,":[47],"they":[48],"often":[49],"fail":[50],"to":[51],"meet":[52],"real-time":[54],"lightweight":[56,64,187],"requirements":[57,188],"vehicles.":[59],"This":[60],"paper":[61],"introduces":[62],"vehicular":[65,190],"method":[68,81],"leveraging":[69],"MobileNetV3":[71,75,113],"architecture.":[72],"By":[73],"utilizing":[74],"core":[78],"framework,":[79],"this":[80,171],"incorporates":[82],"advanced":[83],"techniques":[84],"design":[86],"principles":[87],"such":[88],"Depthwise":[90],"Separable":[91],"Convolution,":[92],"Bottleneck":[93],"structures,":[94],"Squeeze-and-Excitation":[96],"(SE)":[97],"modules.":[98],"These":[99],"innovations":[100],"significantly":[101],"reduce":[102],"computational":[103],"parameter":[105],"overhead":[106],"while":[107],"maintaining":[108],"high":[109],"model":[110,133,163],"accuracy.":[111],"Furthermore,":[112],"is":[114,165],"specifically":[115],"designed":[116],"for":[117],"deployment":[118],"mobile":[120],"devices,":[121],"ensuring":[122],"efficient":[123],"operation":[124],"even":[125],"resource-constrained":[127],"environments.":[128],"The":[129,162],"proposed":[130],"achieved":[134],"an":[135,149],"accuracy,":[136,150],"recall,":[137,151],"precision,":[138,152],"F1":[140,154],"score":[141,155],"100%":[143],"Car-Hacking":[146],"dataset,":[147],"99.98%":[157],"CICIDS-2017":[160],"dataset.":[161],"size":[164],"16MB.":[166],"Experimental":[167],"results":[168],"demonstrate":[169],"that":[170],"scheme":[174],"not":[175],"only":[176],"accurately":[177],"detects":[178],"but":[183],"meets":[185],"applications.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":18},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-08-03T00:00:00"}