Impact Factor
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Volume 12 Issue 07
July 2026
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Abstract
This Paper Presents A UPI Fraud Detection System Using Machine Learning Techniques To Identify And Prevent Fraudulent Digital Payment Transactions. With The Rapid Growth Of Unified Payments Interface (UPI) Transactions In India, Cyber Fraud And Unauthorized Payment Activities Have Increased Significantly. Traditional Fraud Detection Methods Often Fail To Detect Sophisticated Fraud Patterns In Real Time. The Proposed System Uses Machine Learning Algorithms To Analyze Transaction Behavior, Identify Suspicious Activities, And Classify Fraudulent Transactions Effectively. The System Improves Transaction Security, Reduces Financial Losses, And Enhances User Trust In Digital Payment Systems.
Keywords
Paper ID
IJSARTV12I5105490
Publication Date
May 25, 2026
Research Area
MACHINE LEARNING