MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043250 A) filed by Preetham Konda Nagaraja, Bengaluru, Karnataka, on April 4, for 'an intelligent ensemble machine learning framework for real-time cyber attack and malware detection in computer networks.'
Inventor(s) include Preetham Konda Nagaraja.
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 current invention is associated with a smart collection machine learning system to identify a computer network cyber attack and malware in real-time. The suggested system combines various machine learning systems into an ensemble framework to enhance the accuracy, reliability and flexibility of the cybersecurity systems of detection. The framework consists of network traffic monitoring modules, data preprocessing modules, feature extraction module, ensemble classification module, decision fusion module as well as alert generation module. Machine learning classifiers employed include Random Forest, Support Vector Machine, Gradient Boosting and Deep Neural Networks that analyze network traffic data and the results are fused together through a weighted decision fusion mechanism to produce final threat detection results. The system also has adaptive learning features that enable it to maintain its detection performance improvement with the growing cyber threats. The invention offers scalable and effective cybersecurity solution that could identify malware, network intrusion, and advanced cyber attacks in the real-time network settings."
Disclaimer: Curated by HT Syndication.
