{"id":"https://openalex.org/W3206212757","doi":"https://doi.org/10.1109/itsc48978.2021.9564677","title":"Deep-Learning-Based Intrusion Detection for Autonomous Vehicle-Following Systems","display_name":"Deep-Learning-Based Intrusion Detection for Autonomous Vehicle-Following Systems","publication_year":2021,"publication_date":"2021-09-19","ids":{"openalex":"https://openalex.org/W3206212757","doi":"https://doi.org/10.1109/itsc48978.2021.9564677","mag":"3206212757"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc48978.2021.9564677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5101994048","display_name":"Shengli Wang","orcid":"https://orcid.org/0000-0002-8852-8621"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sheng-Li Wang","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017225565","display_name":"Sing-Yao Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sing-Yao Wu","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036066239","display_name":"Ching-Chu Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ching-Chu Lin","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088359873","display_name":"Srivalli Boddupalli","orcid":"https://orcid.org/0000-0003-1369-9458"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srivalli Boddupalli","raw_affiliation_strings":["University of Florida, Gainesville, FL"],"affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, FL","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073179010","display_name":"Po\u2010Jui Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Po-Jui Chang","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080854858","display_name":"Chung\u2010Wei Lin","orcid":"https://orcid.org/0000-0001-8309-7028"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chung-Wei Lin","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057633046","display_name":"Chi\u2010Sheng Shih","orcid":"https://orcid.org/0000-0001-8936-8255"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chi-Sheng Shih","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068991400","display_name":"Sandip Ray","orcid":"https://orcid.org/0000-0002-8671-5052"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sandip Ray","raw_affiliation_strings":["University of Florida, Gainesville, FL"],"affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, FL","institution_ids":["https://openalex.org/I33213144"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.17,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.664216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":73,"max":76},"biblio":{"volume":"12","issue":null,"first_page":"865","last_page":"872"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks and Communications","score":0.9997,"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 and Communications","score":0.9997,"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 Intrusion Detection and Defense Mechanisms","score":0.9987,"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/T11241","display_name":"Characterization and Detection of Android Malware","score":0.9974,"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/vehicular-ad-hoc-networks","display_name":"Vehicular Ad Hoc Networks","score":0.589291},{"id":"https://openalex.org/keywords/intrusion-detection","display_name":"Intrusion Detection","score":0.577619},{"id":"https://openalex.org/keywords/detection","display_name":"Detection","score":0.571033},{"id":"https://openalex.org/keywords/behavioral-analysis","display_name":"Behavioral Analysis","score":0.525266},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep Learning","score":0.524538}],"concepts":[{"id":"https://openalex.org/C2780150632","wikidata":"https://www.wikidata.org/wiki/Q5167872","display_name":"Cooperative Adaptive Cruise Control","level":4,"score":0.77707934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6946956},{"id":"https://openalex.org/C113168747","wikidata":"https://www.wikidata.org/wiki/Q507295","display_name":"Cruise control","level":3,"score":0.67958647},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.61963964},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.50533015},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.50308675},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.42884228},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.42648208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.425913},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.41651988},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4030413},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.30675215},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25910404},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23196456},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc48978.2021.9564677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.53,"display_name":"Affordable and clean energy"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":19,"referenced_works":["https://openalex.org/W1655377165","https://openalex.org/W2101234009","https://openalex.org/W2414564754","https://openalex.org/W2474046725","https://openalex.org/W2538971299","https://openalex.org/W2593182419","https://openalex.org/W2765830227","https://openalex.org/W2798405286","https://openalex.org/W2810662589","https://openalex.org/W2833324965","https://openalex.org/W2899668915","https://openalex.org/W2899771611","https://openalex.org/W2902455138","https://openalex.org/W2903709398","https://openalex.org/W2940448103","https://openalex.org/W2951181522","https://openalex.org/W2971343975","https://openalex.org/W3106543020","https://openalex.org/W4297814361"],"related_works":["https://openalex.org/W4239082859","https://openalex.org/W2895992789","https://openalex.org/W2810760421","https://openalex.org/W2777953498","https://openalex.org/W2179921393","https://openalex.org/W2124723444","https://openalex.org/W2116446771","https://openalex.org/W2096310934","https://openalex.org/W2063190736","https://openalex.org/W1496120623"],"abstract_inverted_index":{"Autonomous":[0],"vehicle-following":[1,118],"systems,":[2],"including":[3],"Adaptive":[4,10],"Cruise":[5,11],"Control":[6,12],"(ACC)":[7],"and":[8,17,50,62,70,112,117,129,159],"Cooperative":[9],"(CACC),":[13],"improve":[14],"safety,":[15],"efficiency,":[16],"string":[18],"stability":[19],"for":[20,147,164],"a":[21,108,126,162],"vehicle":[22,32,49],"(the":[23],"ego":[24,31],"vehicle)":[25],"following":[26],"its":[27,52],"leading":[28,48],"vehicle.":[29],"The":[30,149],"senses":[33],"or":[34,43,78,99],"receives":[35],"information,":[36],"such":[37],"as":[38],"the":[39,47,103,136,139,153,165],"position,":[40],"velocity,":[41],"acceleration,":[42],"even":[44],"intention,":[45],"of":[46,94,156,167],"controls":[51],"own":[53],"behavior.":[54],"However,":[55],"it":[56],"has":[57],"been":[58],"shown":[59],"that":[60],"sensors":[61,77],"wireless":[63],"channels":[64],"are":[65],"vulnerable":[66],"to":[67,134,161],"security":[68],"attacks,":[69,137],"attackers":[71],"can":[72,106],"modify":[73],"data":[74],"sensed":[75],"from":[76,80],"received":[79],"other":[81],"vehicles.":[82],"To":[83],"address":[84],"this":[85,88],"problem,":[86],"in":[87],"paper,":[89],"we":[90],"design":[91,166],"three":[92],"types":[93],"stealthy":[95,104],"attacks":[96,105],"on":[97],"ACC":[98],"CACC":[100],"inputs,":[101],"where":[102,138],"deceive":[107],"rule-based":[109],"detection":[110,170],"approach":[111],"impede":[113],"system":[114],"properties":[115],"(collision-freeness":[116],"distance).":[119],"We":[120],"then":[121],"develop":[122],"two":[123,140],"deep-learning":[124],"models,":[125],"predictor-based":[127],"model":[128,133],"an":[130],"encoder-decoder-":[131],"based":[132],"detect":[135],"models":[141,146,158],"do":[142],"not":[143],"need":[144],"attacker":[145],"training.":[148],"experimental":[150],"results":[151],"demonstrate":[152],"respective":[154],"strengths":[155],"different":[157],"lead":[160],"methodology":[163],"learning-based":[168],"intrusion":[169],"approaches.":[171]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3206212757","counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2024-11-22T01:31:06.057424","created_date":"2021-10-25"}