{"id":"https://openalex.org/W4388893575","doi":"https://doi.org/10.1109/wincom59760.2023.10322964","title":"In-Vehicle Intrusion Detection based on Machine Learning","display_name":"In-Vehicle Intrusion Detection based on Machine Learning","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4388893575","doi":"https://doi.org/10.1109/wincom59760.2023.10322964"},"language":"en","primary_location":{"id":"doi:10.1109/wincom59760.2023.10322964","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wincom59760.2023.10322964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM)","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/A5022581171","display_name":"O. Saber","orcid":null},"institutions":[{"id":"https://openalex.org/I3121676899","display_name":"Universit\u00e9 Ibn-Tofail","ror":"https://ror.org/02wj89n04","country_code":"MA","type":"education","lineage":["https://openalex.org/I3121676899"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Ouidad Saber","raw_affiliation_strings":["University Ibn Tofail,Laboratory Engineering of Advanced Systems National School of Applied Sciences,Kenitra,Morocco","Laboratory Engineering of Advanced Systems National School of Applied Sciences, University Ibn Tofail, Kenitra, Morocco"],"affiliations":[{"raw_affiliation_string":"University Ibn Tofail,Laboratory Engineering of Advanced Systems National School of Applied Sciences,Kenitra,Morocco","institution_ids":["https://openalex.org/I3121676899"]},{"raw_affiliation_string":"Laboratory Engineering of Advanced Systems National School of Applied Sciences, University Ibn Tofail, Kenitra, Morocco","institution_ids":["https://openalex.org/I3121676899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044282884","display_name":"Tomader Mazri","orcid":"https://orcid.org/0000-0001-6968-8956"},"institutions":[{"id":"https://openalex.org/I3121676899","display_name":"Universit\u00e9 Ibn-Tofail","ror":"https://ror.org/02wj89n04","country_code":"MA","type":"education","lineage":["https://openalex.org/I3121676899"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Tomader Mazri","raw_affiliation_strings":["University Ibn Tofail,Laboratory Engineering of Advanced Systems National School of Applied Sciences,Kenitra,Morocco","Laboratory Engineering of Advanced Systems National School of Applied Sciences, University Ibn Tofail, Kenitra, Morocco"],"affiliations":[{"raw_affiliation_string":"University Ibn Tofail,Laboratory Engineering of Advanced Systems National School of Applied Sciences,Kenitra,Morocco","institution_ids":["https://openalex.org/I3121676899"]},{"raw_affiliation_string":"Laboratory Engineering of Advanced Systems National School of Applied Sciences, University Ibn Tofail, Kenitra, Morocco","institution_ids":["https://openalex.org/I3121676899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5022581171"],"corresponding_institution_ids":["https://openalex.org/I3121676899"],"apc_list":null,"apc_paid":null,"fwci":0.2009,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52588237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9976999759674072,"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":0.996399998664856,"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/intrusion-detection-system","display_name":"Intrusion detection system","score":0.7248143553733826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7179784178733826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45846235752105713},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43382546305656433},{"id":"https://openalex.org/keywords/intrusion","display_name":"Intrusion","score":0.432583212852478},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06797346472740173}],"concepts":[{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7248143553733826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7179784178733826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45846235752105713},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43382546305656433},{"id":"https://openalex.org/C158251709","wikidata":"https://www.wikidata.org/wiki/Q354025","display_name":"Intrusion","level":2,"score":0.432583212852478},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06797346472740173},{"id":"https://openalex.org/C17409809","wikidata":"https://www.wikidata.org/wiki/Q161764","display_name":"Geochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wincom59760.2023.10322964","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wincom59760.2023.10322964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2414564754","https://openalex.org/W2897929592","https://openalex.org/W2898623510","https://openalex.org/W2904235330","https://openalex.org/W2906146034","https://openalex.org/W2912118475","https://openalex.org/W2913402274","https://openalex.org/W2915626801","https://openalex.org/W2951616608","https://openalex.org/W2959120033","https://openalex.org/W2964262308","https://openalex.org/W2979202956","https://openalex.org/W2979543333","https://openalex.org/W2981094074","https://openalex.org/W2996897273","https://openalex.org/W3001523552","https://openalex.org/W3009513989","https://openalex.org/W3014988774","https://openalex.org/W3018640761","https://openalex.org/W3081862970","https://openalex.org/W3094026106","https://openalex.org/W3098996042","https://openalex.org/W3105105644","https://openalex.org/W3148181069","https://openalex.org/W3151354157","https://openalex.org/W3161846591","https://openalex.org/W3175984392","https://openalex.org/W3178719887","https://openalex.org/W3184927673","https://openalex.org/W3216327094","https://openalex.org/W4210814081","https://openalex.org/W4220887779","https://openalex.org/W4226376674","https://openalex.org/W6756728290"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"The":[0],"in-vehicle":[1],"network":[2,55],"enables":[3],"communication":[4,28],"between":[5,29,91],"the":[6,21,34,42,111,120,130,134,147,156],"different":[7,93],"vehicle":[8],"components":[9],"and":[10,16,57,77,100,107,149],"systems.":[11],"It":[12],"uses":[13],"specific":[14],"protocols":[15],"bus":[17,36],"systems,":[18],"such":[19],"as":[20,81,127,129],"Controller":[22],"Area":[23],"Network":[24],"(CAN)":[25],"that":[26,72,102],"provides":[27,137],"invehicle":[30],"parts":[31],"simultaneously.":[32],"As":[33],"CAN":[35,79],"plays":[37],"an":[38,63],"essential":[39],"role":[40],"in":[41,117],"in-vehicular":[43],"communication,":[44],"it":[45],"is":[46,73],"vulnerable":[47],"to":[48,54,75,142,154],"various":[49],"types":[50],"of":[51,95,119,146],"attack,":[52],"leading":[53],"disconnection":[56],"other":[58],"damage.":[59],"This":[60],"paper":[61],"proposes":[62],"intrusion":[64],"detection":[65,140],"system":[66],"(IDS)":[67],"based":[68],"on":[69],"machine":[70],"learning":[71],"able":[74],"detect":[76],"classify":[78],"messages":[80],"DoS,":[82],"Fuzzy,":[83],"Spoofing":[84],"attacks,":[85],"or":[86],"normal":[87],"messages.":[88],"A":[89],"comparison":[90],"six":[92],"algorithms":[94],"classification":[96],"was":[97],"carried":[98],"out":[99],"found":[101],"Decision":[103],"Tree,":[104],"Logistic":[105],"Regression,":[106],"Random":[108],"Forest":[109],"were":[110],"best":[112],"algorithms,":[113],"providing":[114],"excellent":[115],"results":[116],"terms":[118],"evaluation":[121],"metrics":[122],"(accuracy,":[123],"precision,":[124],"recall,":[125],"f1-score)":[126],"well":[128],"execution":[131],"time.":[132],"Thus,":[133],"proposed":[135],"IDS":[136],"a":[138,150],"high":[139],"rate":[141],"effectively":[143],"identify":[144],"most":[145],"attacks":[148],"low":[151],"computational":[152],"time":[153],"improve":[155],"system\u2019s":[157],"efficiency.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
