MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541122201 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on Dec. 4, 2025, for 'network anomaly detection system using autoencoder and deep neural networks with large language model integration.'
Inventor(s) include Shobha Rekh; Kushagra Dutta; Vansh Gupta; and Aditya Tiwari.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure provides a network anomaly detection system including a data acquisition module configured to capture network traffic data from multiple sources including real-time streams and benchmark datasets, a preprocessing module configured to filter, normalize, and extract features from captured network traffic data using genetic algorithm-based feature selection, an autoencoder neural network configured to learn normal network behavior patterns through unsupervised learning and identify anomalies by computing reconstruction error between input and reconstructed data, a deep neural network classifier configured to categorize detected anomalies into specific attack types including denial of service, distributed denial of service, bot attacks, and web attacks, a large language model integration module configured to generate human-readable reports and contextual explanations of detected anomalies, and a real-time processing framework configured to enable distributed processing using Apache Kafka and Storm platforms."
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