MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541122105 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on Dec. 4, 2025, for 'machine learning-based network intrusion detection system.'
Inventor(s) include Dr. Chandra Mouliswaran S; and Ms. Sanya Agarwal.
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 machine learning-based network intrusion detection system comprising a data preprocessing module configured to receive network traffic data and perform data cleaning, feature scaling, and categorical variable encoding, a feature selection module configured to apply mutual information analysis to identify discriminative features while reducing dimensionality, an ensemble classifier module comprising multiple diverse machine learning algorithms trained on the preprocessed data, a voting mechanism configured to aggregate predictions using a hard voting approach to generate final classification decisions, and a real-time classification module configured to analyze incoming network traffic and classify it as normal or malicious. The system processes traffic through a sequential pipeline with data preprocessing, followed by ensemble classifiers including Decision Tree, XGBoost, and Gaussian Naive Bayes algorithms that provide predictions to a max voting mechanism, ultimately classifying instances as Normal or Malicious."
Disclaimer: Curated by HT Syndication.
