A Machine Learning and Blockchain Based Efficient Fraud Detection Mechanism.

Ashfaq, Tehreem; Khalid, Rabiya; Yahaya, Adamu Sani; Aslam, Sheraz; Azar, Ahmad Taher; Alsafari, Safa; Hameed, Ibrahim A

Ashfaq, Tehreem; Khalid, Rabiya; Yahaya, Adamu Sani; Aslam, Sheraz; Azar, Ahmad Taher; Alsafari, Safa; Hameed, Ibrahim A.

Afiliación

Ashfaq T; Department of Computer Science, COMSATS University Islamabad, Islamabad 44000, Pakistan.
Khalid R; Department of Computer Science, COMSATS University Islamabad, Islamabad 44000, Pakistan.
Yahaya AS; Department of Computer Science, COMSATS University Islamabad, Islamabad 44000, Pakistan.
Aslam S; Department of Information Technology, Bayero University Kano, Kano 700006, Nigeria.
Azar AT; Department of Electrical Engineering, Computer Engineering and Informatics, Cyprus University of Technology, Limassol 3036, Cyprus.
Alsafari S; Automated Systems & Soft Computing Lab (ASSCL), Prince Sultan University, Riyadh 12435, Saudi Arabia.
Hameed IA; Automated Systems & Soft Computing Lab (ASSCL), Prince Sultan University, Riyadh 12435, Saudi Arabia.

Sensors (Basel) ; 22(19)2022 Sep 21.

Article en En | MEDLINE | ID: mdl-36236255

Asunto(s)

Cadena de Bloques; Algoritmos; Fraude; Aprendizaje Automático; Tecnología

Palabras clave

XGboost; anomaly detection; blockchain; fraud detection; machine learning; random forest

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cadena de Bloques Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Pakistán Pais de publicación: Suiza

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