UPI Fraud Detection using Machine Learning

Author(s)	Bindela.Akhila, Mr.C.Lakshminath Reddy, Putluru Bhavana, Chekka Anitha, Bellary Jayasimha Raju
Country	India
Abstract	: Because of its user-friendliness and real-time transactions, the Unified Payments Interface (UPI) has completely transformed digital payments. On the other hand, fraud has increased as a result of this quick acceptance. It offers a fresh method for identifying UPI fraud by utilizing behavioural analytics and cutting-edge machine learning algorithms. We create a strong detection system that accurately detects suspicious activity by utilizing a wide range of data, including transaction patterns, user behaviours, and past fraud incidents. To improve the security of UPI transactions, our method incorporates features including anomaly detection and pattern recognition. The usefulness of our model in reducing monetary losses and preserving user confidence in digital payment systems is demonstrated by experimental results that show a notable improvement in fraud detection rates when compared to conventional methods.
Field	Engineering
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-04-16
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.42152
Short DOI	https://doi.org/g9f4w5

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International Journal For Multidisciplinary Research