Data Anomaly Detection for Internet of Vehicles Based on Traffic Cellular Automata and Driving Style.

Ding, Nan; Ma, Haoxuan; Zhao, Chuanguo; Ma, Yanhua; Ge, Hongwei

Ding, Nan; Ma, Haoxuan; Zhao, Chuanguo; Ma, Yanhua; Ge, Hongwei.

Afiliação

Ding N; School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.
Ma H; School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.
Zhao C; School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.
Ma Y; School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.
Ge H; School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.

Sensors (Basel) ; 19(22)2019 Nov 12.

Article em En | MEDLINE | ID: mdl-31726718

Palavras-chave

Gaussian mixed model; Internet of Vehicles; data anomaly detection; driving style; traffic cellular automata

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo

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PubMed Links

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article