MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123318 A) filed by Dayananda Sagar Academy Of Technology And Management; Dr. Sandhya N; Mrs. Ayain John; H Suraj; Praveen M; Apoorva P; and Anusha M, Bengaluru, Karnataka, on Dec. 7, 2025, for 'real-time botnet detection using machine learning and live network traffic analysis.'
Inventor(s) include Dayananda Sagar Academy Technology And Management; Dr. Sandhya N; Mrs. Ayain John; H Suraj; Praveen M; Apoorva P; and Anusha M.
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 botnet detection system that integrates with macOS firewall infrastructure to analyze live network traffic and identify both known and zero-day botnet threats using hybrid machine learning techniques. The system comprises a firewall integration module for traffic capture, feature extraction engine for deriving behavioral characteristics, hybrid machine learning framework combining supervised classification and unsupervised anomaly detection, autonomous mitigation module for automated protective actions, adaptive learning system for continuous model improvement, and Streamlit-based user interface for visualization and control. The present invention ensures immediate detection of botnet activities at the endpoint level, effective identification of both documented and novel botnet patterns, automated response without manual intervention, and sustained effectiveness through continuous adaptation to evolving threats, providing comprehensive protection against sophisticated botnet attacks in modern network environments."
Disclaimer: Curated by HT Syndication.
