MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541124390 A) filed by B V Raju Institute Of Technology, Narsapur, Telangana, on Dec. 10, 2025, for 'secure ai-enabled web scraping system for personalized e-commerce recommendations and price anomaly detection.'
Inventor(s) include V. Pradeep Kumar; Ashokkumar Nanda; Dr. C. Naga Swaroopa; G. Geetha; Lakshmi Aishwarya; and B. Pranaya.
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: "This invention provides a network intrusion detection system that employs a Hidden Markov Model (HMM) for feature selection, enhancing the accuracy of machine learning classifiers in detecting network intrusions. The system incorporates an ensemble classifier, including Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), Decision Tree, and Voting Classifier, to minimize false positives and increase detection precision. Additionally, it includes a real-time user interface for monitoring, allowing network administrators to respond promptly to potential intrusions. The system is designed for scalability and adaptability across diverse network environments, offering a robust solution to contemporary cybersecurity challenges."
Disclaimer: Curated by HT Syndication.
