Online Payment Fraud Detection Model Using Machine Learning
Year: 2025
Type: article
Abstract: –As we all know that nowadays the demand and the use of the UPI i.e. Unified Payments Interface isincreasing so rapidly. Due to its high rise, some concerns and security issue related to UPI are raised.Many of the people will face the problem related to fake and fraud payments. So our study presentsthe detection of the fraud payments by utilizing the various machine learning algorithms. The systemproposed by us will integrates machine learning algorithms with rule-based methods to evaluate onrisk factors such as transaction amount, frequency, location, and behavioral anomalies. The frauddetection system follows four key phases which are user engagement, historical data analysis,continuous monitoring, and fraud prediction analysis. Keywords: UPI Transactions, Fraud Detection, Machine Learning, Real-Time Monitoring,Behavioral Analysis, Risk Assessment, Predictive Analysis.
Authors: Shivam Shinde, Bhuvnesh Rane, Shravani Jadhav, Ruchita Ugalmugle, Prof.Aishwarya S.Sanap, Prof.Mahesh P.Bhandakkar
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930827799
FWCI:
Cites:
Cited by:
Related to: