A Real-Time Prescriptive Solution for Explainable Cyber-Fraud Detection Within the iGaming Industry

This paper presents a real-time fully autonomous prescriptive solution for explainable cyber-fraud detection within the iGaming industry. We demonstrate how our solution facilitates the time-consuming task of player risk and fraud assessment through prescriptive analytics. Our tool leverages machine...

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Detalles Bibliográficos
Autores principales: Farrugia, David, Zerafa, Christopher, Cini, Tony, Kuasney, Bruno, Livori, Karen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8049394/
https://www.ncbi.nlm.nih.gov/pubmed/33880451
http://dx.doi.org/10.1007/s42979-021-00623-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8049394/
https://www.ncbi.nlm.nih.gov/pubmed/33880451
http://dx.doi.org/10.1007/s42979-021-00623-7

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