MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123054 A) filed by Dr. Sravani Nalluri; Dr. Manjunath Koliwad; Dr. Venkatesh Kanna T; Mr. Kedar Hiremath; Dr. S K Hiremath; Dr. M. Ganesh; and Chithrakkannan R, Vijayawada, Andhra Pradesh, on Dec. 5, 2025, for 'machine learning-driven adaptive intrusion detection system for heterogeneous iot networks.'
Inventor(s) include Dr. Sravani Nalluri; Dr. Manjunath Koliwad; Dr. Venkatesh Kanna T; Mr. Kedar Hiremath; Dr. S K Hiremath; Dr. M. Ganesh; and Chithrakkannan R.
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 discloses a machine learning-driven adaptive intrusion detection system for heterogeneous IoT networks, comprising edge-level lightweight anomaly detection, gateway deep learning classification, and cloud-based reinforcement learning optimization, combined with context-aware behavioral baselines and federated incremental training, to enable real-time detection, classification, and mitigation of network anomalies and malicious activities with high accuracy, low false positives, privacy preservation, and scalability across diverse IoT devices and communication protocols."
Disclaimer: Curated by HT Syndication.
