Fraud Detection in Mobile Payment Systems using an XGBoost-based Framework

Mobile payment systems are becoming more popular due to the increase in the number of smartphones, which, in turn, attracts the interest of fraudsters. Extant research has therefore developed various fraud detection methods using supervised machine learning. However, sufficient labeled data are rare...

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Detalles Bibliográficos
Autores principales: Hajek, Petr, Abedin, Mohammad Zoynul, Sivarajah, Uthayasankar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9560719/
https://www.ncbi.nlm.nih.gov/pubmed/36258679
http://dx.doi.org/10.1007/s10796-022-10346-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9560719/
https://www.ncbi.nlm.nih.gov/pubmed/36258679
http://dx.doi.org/10.1007/s10796-022-10346-6

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