MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202641106997 A) filed by Mohan Babu University on September 05, 2026, for Industrial Iot Anomaly Detection System For Cyber-Physical Threat Monitoring.
Inventors include Dr. Cuddapah Anitha; Ms. Padarthi Harshika; Mr. Somalaraju Hemanth Kumar Raju; Ms. P. Harshitha; and Mr. Muddala Vishnu Vardhan.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: The present invention relates to an Industrial IoT Anomaly Detection System for Cyber-Physical Threat Monitoring configured to provide intelligent detection and classification of cyber threats within Industrial Internet of Things (IIoT) environments using advanced machine learning techniques. The system comprises a network traffic acquisition module, data preprocessing module, feature engineering module, XGBoost classifier, Stacking Classifier, anomaly detection engine, performance evaluation module, and visualization interface. Industrial network traffic is continuously collected and processed to identify malicious activities, including Denial of Service (DoS), Probing, User-to-Root (U2R), and Remote-to-Local (R2L) attacks. The integrated machine learning models classify network traffic with high accuracy while minimizing false-positive detections. The detected anomalies are presented through an interactive monitoring interface, enabling real-time cybersecurity analysis and rapid threat response. The modular architecture supports integration with industrial automation systems, cloud platforms, and edge computing infrastructures, providing a scalable, reliable, and efficient solution for protecting Industrial Internet of Things networks against evolving cyber-physical threats.
Disclaimer: Curated by HT Syndication.
