MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049554 A) filed by R. M. K. Engineering College, Chennai, Tamil Nadu, on April 18, for 'machine learning based cybersecurity system for real time threat detection and automated intrusion prevention mechanisms.'
Inventor(s) include Ms K Jayalakshmi.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a machine learning-based cybersecurity system for real-time threat detection and automated intrusion prevention. The system collects network traffic, system logs, and user activity data, and applies preprocessing and feature extraction techniques. Machine learning algorithms are used to detect anomalies and classify cyber threats. The system continuously learns from new data to adapt to evolving attack patterns. An automated response module prevents intrusions by blocking malicious activities and generating alerts. The proposed system improves detection accuracy, reduces response time, and enhances network security. It is scalable and suitable for enterprise, cloud, and IoT environments. The invention provides a proactive approach to cybersecurity by integrating intelligent threat detection with automated prevention mechanisms, ensuring robust protection against modern cyber threats."
Disclaimer: Curated by HT Syndication.
