Articles
Año 10 No. 28 Enero - Abril 2024
USE OF A NEURAL NETWORK IN THE DETECTION OF FRAUDULENT TRANSACTIONS CARRIED OUT ON AN ONLINE PLATFORM
Facultad de Ciencias de la Computación. Benemérita Universidad Autónoma de Puebla
Doctorado en Ingeniería del lenguaje y del conocimiento. Benemérita Universidad Autónoma de Puebla
Abstract
The problem of cyber fraud has been increasing and is already an economic problem for companies that use electronic payments. Models and algorithms have been proposed within machine learning to detect patterns in digital transactions that could exhibit fraudulent transactions. Here, we suggest using neural networks that use graph structures to model and classify fraudulent users.
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