Conference
Open access
2025
A Machine Learning Framework for Detecting Fraudulent Transactions in UPI Systems
This study increases UPI security against changing fraud tactics by providing a scalable, real-time, and interpretable architecture that combines ensemble learning methods, deep learning architectures, and sophisticated feature engineering.
N. Siva, K. Durgadevi, J. Jyothi et al.
· Proceedings of the 1st Inter... · 0 citations