MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641018800 A) filed by Mohan Babu University, Tirupati, Andhra Pradesh, on Feb. 19, for 'advanced phishing detection through hybrid stacking of machine learning models.'
Inventor(s) include Dr. K. Padmaja; Ms. Kannavaram Swetha; Ms. R. P. Lalithya; Ms. Bada Navya; Mr. Malle Viswadharan; and Mr. B. Hemanth Kumar Naik.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "The invention pertains to a phishing detection system employing a hybrid stacking machine learning method. The system extracts lexical, structural, and contextual features from the URLs and feeds them through various base classifiers like Random Forest, Extra Trees, and XGBoost. The predictions made by each of these classifiers are aggregated with the help of a meta-classifier to provide an end decision on whether a provided URL is genuine or phishing. The invention solves the shortfalls of current solutions by supporting real-time detection, decreased false positives, flexibility to changing phishing patterns, and scalability to be used on different browsers, email clients, and enterprise security architectures. By combining the respective strengths of various ensemble models, the invention delivers higher detection accuracy, stability, and effectiveness than the prior art, facilitating reliable phishing protection in real-world cybersecurity contexts."
Disclaimer: Curated by HT Syndication.
