Geo Location Authentication for Real Time Prevention of Fraud Transaction

Author(s)	Mrs. Nanda M B, Mr. Prashanth N B, Mr. Shashank Shrikant Shetti, Mr. B Thimmareddy, Mr. Pruthvik R
Country	India
Abstract	This project introduces a Geo-Location Based Real-Time Fraud Detection System to secure digital payments. It uses geolocation intelligence, behavioral analysis, and a machine learning model to classify transactions as safe or suspicious. By detecting anomalies like unexpected location deviation, the system prevents unauthorized activities. Experimental evaluation demonstrated an accuracy exceeding 90% and low latency, making it a robust and scalable solution for financial fraud prevention.
Keywords	Fraud detection , Geolocation analysis , Machine learning , Anomaly detection , Cybersecurity , Real-time transaction monitoring.
Field	Engineering
Published In	Volume 7, Issue 6, November-December 2025
Published On	2025-12-11
DOI	https://doi.org/10.36948/ijfmr.2025.v07i06.63004

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