MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043401 A) filed by Mangalam College Of Engineering, Ettumanoor, Kerala, on April 5, for 'a deep learning-based automated cyber threat detection and intrusion prevention system for protecting distributed computer networks.'
Inventor(s) include Banu Sumayya S; Anju John; Sreelekshmi K S; Anjana A A; Sreesh S; Reshna Ravi; and Arya K Rajesh.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a deep learning-based automated cyber threat detection and intrusion prevention system designed to protect distributed computer networks from evolving security threats. The system continuously monitors network traffic, user behavior, and system activities to identify potential cyber threats in real time. It utilizes deep learning models to analyze patterns, detect anomalies, and classify malicious activities with high accuracy. The system is capable of adapting to new and unknown threats through continuous learning and model updates. Upon detecting suspicious activity, the system automatically initiates preventive actions such as blocking access, isolating affected nodes, and alerting administrators. The invention enhances network security by reducing response time and minimizing human intervention. It is suitable for enterprise networks, cloud environments, and distributed computing systems. The system improves threat detection efficiency, reduces false positives, and provides a scalable and intelligent solution for modern cybersecurity challenges."
Disclaimer: Curated by HT Syndication.
