MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541122217 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on Dec. 4, 2025, for 'machine learning system for phishing detection with integrated anomaly analysis.'
Inventor(s) include Dr. Saritha Murali; Ms. Aditi Singh; Mr. Kanav Gupta; and Mr. Dhruv Bajaj.
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 present disclosure provides a computer-implemented method for phishing detection with integrated anomaly analysis. The method receives an input URL for analysis and extracts a plurality of features from the input URL. The plurality of features are processed through a supervised classification module to generate a phishing probability score and through an unsupervised anomaly detection module to generate an anomaly score. The phishing probability score and the anomaly score are combined to generate a composite threat score, and an alert is generated when the composite threat score exceeds a predetermined threshold. The system architecture comprises a phishing detection module, an anomaly detection module, a decision engine, and an alert system that work together to provide comprehensive threat assessment capabilities through machine learning algorithms including Random Forest, Isolation Forest, and One-Class Support Vector Machine models."
Disclaimer: Curated by HT Syndication.
