Intellectual Property India Publishes Patent Application for 'AI Driven Threat Prediction And Anomaly Detection In Industrial Iot Networks' Filed by Dr. Mahalingam College Of Engineering and Technology; K. Kanagasabapathi; C. Thirunavukkarasu; Dr Ranjana R; Dr. S. Nithya; Indurekaa S R; M Masilamani; and Kiruthikka D C

MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202541131222 A) filed by Dr. Mahalingam College Of Engineering and Technology; K. Kanagasabapathi; C. Thirunavukkarasu; Dr Ranjana R; Dr. S. Nithya; Indurekaa S R; M Masilamani; and Kiruthikka D C, Coimbatore, Tamil Nadu, on Dec. 24, 2025, for 'ai driven threat prediction and anomaly detection in industrial iot networks.'

Inventor(s) include K. Kanagasabapathi; C. Thirunavukkarasu; Dr Ranjana R; Dr. S. Nithya; Indurekaa S R; M Masilamani; and Kiruthikka D C.

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 discloses an Al-driven threat prediction and anomaly detection framework for Industrial loT networks. It integrates multi-modal data acquisition, lightweight edge-based anomaly detection, cloud-based threat forecasting using GNN and transformer models, a behavioural twin engine for real-time behavioural comparison, and an adaptive mitigation layer for automated response. The system enables proactive identification of cyber threats, detection of unknown anomalies, and real-time protective actions in resource-constrained industrial environments. The invention enhances security, reliability, and operational resilience of industrial loT ecosystems."

Disclaimer: Curated by HT Syndication.