MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050642 A) filed by Mohan Babu University, Tirupati, Andhra Pradesh, on April 21, for 'adaptive artificial intelligence system for real-time detection and prevention of digital payment fraud in unified payment networks.'
Inventor(s) include Mr. B. Ajith Kumar; Ms. B. Lakshmi Durga; Ms. Rk. Baby Janani; Ms. V. Sravani; and Ms. M. Poojitha.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an artificial intelligence-based system designed to detect and prevent fraudulent transactions in digital payment networks. With the increasing adoption of real-time digital payment platforms, financial fraud has become a significant challenge for banks, payment service providers, and users. Traditional fraud detection systems rely on static rule-based mechanisms that are unable to adapt to evolving fraud techniques. The proposed invention introduces a hybrid fraud detection framework that integrates machine learning and deep learning techniques to analyze transaction behaviour and detect anomalies in real time. The system processes transaction attributes such as transaction amount, frequency, location, device identity, and user behaviour patterns to identify suspicious activities. Machine learning algorithms including Random Forest, Support Vector Machines, and Gradient Boosting classifiers are used to classify transactions, while deep learning models such as Long Short-Term Memory networks analyze sequential transaction patterns to detect behavioural anomalies. The system continuously learns from historical and real-time transaction data, allowing it to adapt to new fraud strategies. When suspicious activity is detected, the system can generate alerts, request additional authentication, or block transactions to prevent financial losses. The invention provides a scalable, intelligent, and adaptive solution for improving the security of digital payment systems and protecting users against financial fraud."
Disclaimer: Curated by HT Syndication.
