MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541125287 A) filed by B V Raju Institute Of Technology, Narsapur, Telangana, on Dec. 11, 2025, for 'adaptive machine-learning driven iot architecture for forecasting cyber-attacks in distributed networks.'
Inventor(s) include K Durga Devi; Mrs. Dyagala Naga Sudha; Mrs. Gandam Vindya; Mrs. Rowthu Neelima; Mrs. N. Pragjna; and Mrs. T. Veneela.
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 provides an adaptive machine-learning driven IoT architecture designed to forecast cyber-attacks in distributed networks. IoT sensing nodes gather real-time network and device behaviour metrics, which are processed by an edge analytics layer and analyzed using adaptive machine-learning models. The system predicts potential cyber-attacks, generates risk scores, and issues proactive alerts to administrators. A feedback mechanism continuously refines the model to maintain accuracy against evolving threats. The architecture enhances proactive cybersecurity, reduces detection delays, and supports scalable deployment across diverse IoT and distributed network environments."
Disclaimer: Curated by HT Syndication.
