Detecting Anomalous Transactions via an IoT Based Application: A Machine Learning Approach for Horse Racing Betting.

Min, Moohong; Lee, Jemin Justin; Park, Hyunbeom; Lee, Kyungho

Min, Moohong; Lee, Jemin Justin; Park, Hyunbeom; Lee, Kyungho.

Afiliación

Min M; Department of Information Security, School of Cybersecurity, Korea University, Seoul 02841, Korea.
Lee JJ; Center for Information Security Technology (CIST), Korea University, Seoul 02841, Korea.
Park H; A3security, Seoul 07217, Korea.
Lee K; Department of Information Security, School of Cybersecurity, Korea University, Seoul 02841, Korea.

Sensors (Basel) ; 21(6)2021 Mar 13.

Article en En | MEDLINE | ID: mdl-33805841

Palabras clave

Internet of Things; anomaly detection; big data; cyber security; horse racing; machine learning; mobile sensors; time series data; transaction data

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article

Texto completo

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article