{"id":"https://openalex.org/W4328028456","doi":"https://doi.org/10.1109/trustcom56396.2022.00188","title":"Forgery Trajectory Injection Attack Detection for Traffic Lights under Connected Vehicle Environment","display_name":"Forgery Trajectory Injection Attack Detection for Traffic Lights under Connected Vehicle Environment","publication_year":2022,"publication_date":"2022-12-01","ids":{"openalex":"https://openalex.org/W4328028456","doi":"https://doi.org/10.1109/trustcom56396.2022.00188"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/trustcom56396.2022.00188","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/A5101521130","display_name":"Yanghui Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanghui Zhang","raw_affiliation_strings":["Changsha University of Science & Technology,College of Automotive and Mechanical Engineering,Changsha,China,410114"],"affiliations":[{"raw_affiliation_string":"Changsha University of Science & Technology,College of Automotive and Mechanical Engineering,Changsha,China,410114","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102809497","display_name":"Kai Gao","orcid":"https://orcid.org/0000-0003-4297-2978"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Gao","raw_affiliation_strings":["Changsha University of Science & Technology,College of Automotive and Mechanical Engineering,Changsha,China,410114"],"affiliations":[{"raw_affiliation_string":"Changsha University of Science & Technology,College of Automotive and Mechanical Engineering,Changsha,China,410114","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114594007","display_name":"Shuo Huang","orcid":"https://orcid.org/0009-0004-8495-4406"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Huang","raw_affiliation_strings":["Changsha University of Science & Technology,College of Automotive and Mechanical Engineering,Changsha,China,410114"],"affiliations":[{"raw_affiliation_string":"Changsha University of Science & Technology,College of Automotive and Mechanical Engineering,Changsha,China,410114","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013684724","display_name":"Xunhao Li","orcid":"https://orcid.org/0000-0002-3748-805X"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xunhao Li","raw_affiliation_strings":["Changsha University of Science & Technology,College of Automotive and Mechanical Engineering,Changsha,China,410114"],"affiliations":[{"raw_affiliation_string":"Changsha University of Science & Technology,College of Automotive and Mechanical Engineering,Changsha,China,410114","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064940003","display_name":"Ronghua Du","orcid":"https://orcid.org/0000-0002-8531-5217"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronghua Du","raw_affiliation_strings":["Changsha University of Science & Technology,College of Automotive and Mechanical Engineering,Changsha,China,410114"],"affiliations":[{"raw_affiliation_string":"Changsha University of Science & Technology,College of Automotive and Mechanical Engineering,Changsha,China,410114","institution_ids":["https://openalex.org/I56934997"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.153,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":60,"max":70},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9996,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9996,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9984,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.998,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.47964078}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.69270855},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6387173},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.6175676},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5448577},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.47964078},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.42829224},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.42651755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.357976},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21192351},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1574263},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/trustcom56396.2022.00188","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":[{"score":0.66,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":19,"referenced_works":["https://openalex.org/W1973181824","https://openalex.org/W2126194848","https://openalex.org/W2293117569","https://openalex.org/W2460379932","https://openalex.org/W2461378669","https://openalex.org/W2463959386","https://openalex.org/W2601893308","https://openalex.org/W2762158083","https://openalex.org/W2792291478","https://openalex.org/W2793995345","https://openalex.org/W2894849109","https://openalex.org/W2897929592","https://openalex.org/W2922458387","https://openalex.org/W2943134116","https://openalex.org/W2974564554","https://openalex.org/W3033117456","https://openalex.org/W3111703286","https://openalex.org/W3111977207","https://openalex.org/W3164835109"],"related_works":["https://openalex.org/W4360995134","https://openalex.org/W4323768008","https://openalex.org/W4292672442","https://openalex.org/W4248382324","https://openalex.org/W3131574667","https://openalex.org/W2941610985","https://openalex.org/W2362101859","https://openalex.org/W2348909947","https://openalex.org/W2039473718","https://openalex.org/W1941703695"],"abstract_inverted_index":{"With":[0],"the":[1,8,39,59,68,77,87,122,129],"connected":[2],"vehicle":[3],"(CV)":[4],"can":[5,11],"interact":[6],"with":[7],"infrastructure":[9],"and":[10,22,100,120,128,140],"be":[12],"used":[13,85],"as":[14,86],"a":[15,47,63,101,150],"moving":[16],"sensor":[17],"to":[18,57,90],"bring":[19],"more":[20],"real-time":[21],"higher":[23],"precision":[24],"input":[25],"for":[26,153],"intersection":[27,154],"signal":[28,40,49,155],"control.":[29],"However,":[30],"such":[31],"connectivity":[32],"also":[33],"brings":[34],"network":[35],"security":[36,41],"risks.To":[37],"protect":[38],"of":[42,72,81,144],"intersections,":[43],"this":[44],"paper":[45],"designs":[46],"realistic":[48],"attack":[50,61,118],"model":[51],"based":[52,106],"on":[53,107],"forged":[54,92,102],"trajectory":[55],"injection":[56],"simulate":[58],"potential":[60,152],"that":[62,115],"smart":[64],"attacker":[65],"may":[66],"launch,":[67],"key":[69],"track":[70,93,103],"points":[71],"queued":[73,82],"vehicles":[74,83],"were":[75],"extracted,":[76],"traffic":[78],"wave":[79],"velocity":[80],"was":[84,110],"distance":[88],"index":[89],"transform":[91],"recognition":[94],"into":[95],"an":[96],"outlier":[97],"detection":[98,104,124],"problem,":[99],"algorithm":[105],"hierarchical":[108],"clustering":[109],"proposed.":[111],"Experimental":[112],"results":[113],"show":[114],"under":[116],"different":[117],"targets":[119],"permeability,":[121],"highest":[123],"rate":[125],"is":[126,131],"95%,":[127],"lowest":[130],"67%.":[132],"This":[133],"method":[134],"does":[135],"not":[136],"require":[137],"training,":[138],"learning":[139],"high":[141],"computation":[142],"power":[143],"edge":[145],"equipment.":[146],"Therefore,":[147],"it":[148],"has":[149],"certain":[151],"timing":[156],"using":[157],"CV":[158],"trajectory.":[159]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4328028456","counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2024-12-14T06:58:38.025695","created_date":"2023-03-22"}