UPI Fraud Detection Using Machine Learning

Authors

  • Dr.MD.Nazmoddin, Mitta Swetha , Gattu Yashwanthi , Yalangi Divyasree

Keywords:

UPI, Fraud Detection, Digital Payment, Transaction Security, Anomaly Detection, Predictive Modeling, Fraud Prevention,Digital Banking Security, Mobile Payments, Online Transactions, Secure Financial Transactions

Abstract

The proliferation of digital transactions through Unified Payments Interface (UPI) has revolutionized
the financial landscape, but it has also introduced new challenges, notably the escalating incidents of fraudulent
activities. This study presents an innovative approach employing machine learning algorithms for the detection

References

Hilal, W.; Gadsden, S.A.; Yawney, J. Financial Fraud: A Review of Anomaly Detection Techniques

Downloads

Published

2024-06-07

How to Cite

Dr.MD.Nazmoddin, Mitta Swetha , Gattu Yashwanthi , Yalangi Divyasree. (2024). UPI Fraud Detection Using Machine Learning . Journal of Computational Analysis and Applications (JoCAAA), 33(06), 1704–1707. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2503

Issue

Vol. 33 No. 06 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.