MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641073897 A) filed by Cvr College Of Engineering on June 15, 2026, for An Adaptive Ensemble-Based System For Real-Time Ddos Attack Detection Using Dynamic Feature Prioritization And Confidence-Aware Threat Classification.
Inventor includes Hari Shankar Punna.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention pertains to a cybersecurity solution using machine learning technologies for real-time detection of Distributed Denial of Service (DDoS) attacks in computer networks. The invention utilizes a novel machine learning architecture that consists of various classifiers in an ensemble fashion along with feature weighting techniques in order to detect malicious network traffic. Network traffic data is acquired and then preprocessed and analyzed to discover significant features related to the occurrence of attack behaviors. A decision engine is applied to dynamically integrate classifier outputs depending on their contribution to attack detection performance and network traffic conditions. A confidence-aware threat evaluation mechanism is employed in order to validate the confidence of predictions before making attack classifications. The present invention significantly improves attack detection accuracy while minimizing the rate of both false positives and false negatives, which leads to a more reliable cybersecurity monitoring process.
Disclaimer: Curated by HT Syndication.
