Intellectual Property India Publishes Patent Application for 'Credit Card Fraud Detection Using Machine Learning And Data Science' Filed by Dayananda Sagar Academy Of Technology And Management; Mr. Raghava M S; Nithin T A; Akshobhya K S; Shreyas Raj; and Kushal Abhishek

MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123320 A) filed by Dayananda Sagar Academy Of Technology And Management; Mr. Raghava M S; Nithin T A; Akshobhya K S; Shreyas Raj; and Kushal Abhishek, Bengaluru, Karnataka, on Dec. 7, 2025, for 'credit card fraud detection using machine learning and data science.'

Inventor(s) include Dayananda Dayananda Sagar Academy Of Technology And Management; Mr. Raghava M S; Nithin T A; Akshobhya K S; Shreyas Raj; and Kushal Abhishek.

The application for the patent was published on Jan. 2, under issue no. 01/2026.

According to the abstract released by the Intellectual Property India: "The invention relates to a real-time fraud detection system that employs unsupervised machine learning algorithms to identify anomalous credit card transactions without requiring extensive labeled training data. The system comprises a data preprocessing module, correlation analysis module, Isolation Forest detection engine, Local Outlier Factor detection engine, modular integration framework, and adaptive learning mechanism. The parallel operation of multiple anomaly detection algorithms enables comprehensive fraud assessment by identifying both global outliers and local anomalies in transaction patterns. The present invention ensures enhanced detection accuracy, reduced false positives, computational efficiency for real-time processing, adaptability to evolving fraud strategies through feedback-based learning, and transparent interpretable results for regulatory compliance and fraud analyst decision-making."

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