Intellectual Property India Publishes Patent Application for 'A System And Method For Adaptive Ddos Attack Detection And Mitigation Using Reinforcement Learning' Filed by Sr University

MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641051239 A) filed by Sr University, Warangal, Telangana, on April 22, for 'a system and method for adaptive ddos attack detection and mitigation using reinforcement learning.'

Inventor(s) include Maddineni Naresh; and Dr P Praveen.

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 invention relates to an adaptive DDoS attack detection and mitigation system for monitoring and protecting a network environment comprises a data acquisition (102) module configured to receive network traffic data, a preprocessing (104) module configured to generate processed data, and a feature extraction (106) module configured to extract features from the processed data. An analysis module comprising a reinforcement learning (108) model analyses the features to detect a distributed denial-of-service (DDoS) (110) attack. A mitigation (112) module performs mitigation (112) actions to reduce the impact of the detected attack. The system operates in a sequential data processing pipeline enabling real-time detection of anomalous traffic patterns. The mitigation (112) module dynamically adapts mitigation (112) actions based on feedback from the reinforcement learning (108) model, thereby providing an adaptive and efficient response to evolving DDoS (110) attack patterns while improving detection accuracy and reducing false positives."

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