MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048230 A) filed by Diva Senthilnathan, Pollachi, Tamil Nadu, on April 15, for 'online network dos/ddos detection.'
Inventor(s) include Mrs P Sree Devi; Dr. P. Raju; Dr T Kalaikumaran; Mrs V Radha; and E Sureshkumar.
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: "Distributed Denial of Service (DDoS) attacks continue to threaten the reliability and availability of modern networked systems by overwhelming resources with massive volumes of malicious traffic. Traditional detection approaches often struggle to adapt to dynamic and evolving attack patterns, resulting in delayed responses and reduced effectiveness. This work presents an intelligent detection framework that leverages deep learning techniques to identify anomalous network behavior in real time. By utilizing sequence-based models such as Long Short-Term Memory (LSTM) and Recurrent Neural Networks (RNN), the system captures temporal dependencies within traffic flows, enabling more accurate distinction between legitimate and malicious activities. The proposed approach integrates data preprocessing, feature extraction, and model training to ensure robust performance across varying network conditions. Key traffic attributes, including packet frequency, flow duration, and protocol usage, are analyzed to construct me."
Disclaimer: Curated by HT Syndication.
