MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641061585 A) filed by Dr. R. Jothi; Dr. K. Savitha; Dr. M. Priya; Mrs. Shofia Priyadharshini. D; Mrs. R. Selvalakshmi; and Mrs. Suganya R, Chennai, Tamil Nadu, on May 14, for 'an intelligent hybrid ai-driven framework for real-time intrusion detection and predictive cyber threat analysis in distributed network environments.'
Inventor(s) include Dr. R. Jothi; Dr. K. Savitha; Dr. M. Priya; Mrs. Shofia Priyadharshini. D; Mrs. R. Selvalakshmi; and Mrs. Suganya R.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an intelligent hybrid framework for real-time intrusion detection and predictive cyber threat analysis in distributed network environments. The system integrates a data acquisition module for collecting multi-source data, a preprocessing module for feature extraction and normalization, and a hybrid artificial intelligence engine comprising supervised, unsupervised, and reinforcement learning components. The framework enables accurate detection of known and unknown cyber threats while reducing false positives. A predictive threat modeling module analyzes temporal and behavioral patterns to forecast potential cyber-attacks prior to occurrence. The system further includes a decision engine configured to evaluate threat severity and initiate mitigation actions such as traffic blocking, node isolation, and alert generation. A continuous feedback mechanism enables dynamic updating of learning models, ensuring adaptability to evolving threat landscapes. The invention provides a scalable and proactive cybersecurity solution for cloud, edge, and enterprise environments."
Disclaimer: Curated by HT Syndication.
