MUMBAI, India, Oct. 12 -- Intellectual Property India has published a patent application (202641118579 A) filed by Jayaraju Gaddala; and Chaitanya Bharathi Institute Of Technology Autonomous on October 04, 2026, for Intelligent Network Security System For Real-Time Threat Detection.
Inventors include K. Divya Tejaswi; Sirigireddy Himaja; Gummalla Hari Kishore Reddy; P. Mahaboob Chand; Chaganaboyina Chandrasekhar; Nakka Naga Prabhas; Gudla Venkata Nikhil Kumar; Dhariya Rahul; Guduru Azad; and Karamalaputi Venkata Sai.
The application for the patent was published on October 09, 2026, under issue no. 41/2026.
Abstract: The present invention relates to an intelligent network security system and method for detecting cyber threats in real time using machine learning. The system collects network traffic, security device logs, endpoint logs, and threat intelligence data and converts them into features describing network behaviour. A hybrid machine learning engine, comprising a supervised classifier for known attacks, an unsupervised anomaly detector for unknown attacks, and a temporal sequence model for multi- stage attacks, processes the features. The model outputs are fused with threat intelligence context to produce a threat score, class, and confidence value. Based on the score, a response module applies mitigation actions to network elements such as firewalls, switches, and endpoints, either autonomously or after analyst approval. Outcomes and analyst feedback are returned to the engine, which is retrained and validated before deployment, so that detection adapts to new attack patterns and changing network behaviour.
Disclaimer: Curated by HT Syndication.
