Explainable Machine Learning for Real-Time Payment Fraud Detection: Building Trustworthy Models to Protect Financial Transactions

• Main Authors: Al-hchaimi A.A.J., Alomari M.F., Muhsen Y.R., Sulaiman N.B., Ali S.H.
• Other Authors: 57219174675
• Format: Conference paper
• Published: Springer Science and Business Media Deutschland GmbH 2025
• Subjects: Crime; Decision trees; E-learning; Machine learning; Network security; AI techniques; Decision-tree model; Digital finance security; Financial transactions; Fraud detection; Machine learning models; Machine-learning; Real- time; Real-time fraud analyse; Transaction analyse; Finance

In this study, we introduce an advanced machine learning model integrated with explainable AI techniques to enhance the detection of payment fraud in real-time scenarios within the digital finance sector. As online transactions continue to proliferate, so too do the fraudulent activities associate w...