MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641059984 A) filed by Sameeruddin Shaik on May 12, 2026, for Machine Learning-Based System For Transaction Fraud Prevention.
Inventor includes Sameeruddin Shaik.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: MACHINE LEARNING-BASED SYSTEM FOR TRANSACTION FRAUD PREVENTION ABSTRACT The invention Machine Learning-Based System for Transaction Fraud Prevention introduces a novel approach to detecting and preventing fraudulent transactions in financial systems using machine learning algorithms. The system utilizes a combination of supervised and unsupervised learning techniques to analyze transaction data and identify patterns indicative of fraudulent activity. By training on historical transaction data, the machine learning models are capable of recognizing normal transaction behaviors and flagging anomalies in real-time. The system continuously evolves by learning from new data, enabling it to adapt to emerging fraud tactics and improve its predictive accuracy over time. It integrates seamlessly with existing transaction processing systems, offering an additional layer of security without disrupting user experience. The machine learning models leverage various features, such as transaction amount, location, time, and user behavior, to assess the likelihood of fraud. Additionally, the system includes a feedback loop where flagged transactions are reviewed, and the results are fed back into the model for further refinement. This invention enhances the security and efficiency of transaction fraud prevention by providing a proactive and adaptive solution.
Disclaimer: Curated by HT Syndication.
