MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641049208 A) filed by Dr. M. Ulagammai; B. V Mithra; Ahana Dinesh N; and S. Kaviya on April 17, 2026, for Risk- Based Vpn And Proxy Detection System Using Machine learning.
Inventors include Dr. M. Ulagammai; B. Vmithra; Ahana Dinesh N; and S. Kaviya.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: ABSTRACT The invention titled "RISK-BASED VPN AND PROXY DETECTION SYSTEM USING MACHINE LEARNING "introduces a real-time cybersecurity system capable of identifying users accessing a platform through Virtual Private Networks (VPNs), proxies, or anonymization services. The proposed system integrates IP intelligence analysis and machine learning-based classification to detect suspicious network activities. The architecture utilizes an IP Analysis Engine (lAE) to extract geolocation, ISP, and proxy-related attributes, and a Behavioural Risk Assessment Engine (BRAE) to evaluate user login patterns and anomalies. A machine learning model is employed to classify user connections as legitimate or suspicious based on extracted features such as IP type, location mismatch, and access frequency. The system dynamically assigns a risk score and provides real-time alerts for high-risk connections. The invention ensures privacy by implementing a token- based identity mechanism that avoids storage of personally identifiable information. The system enhances authentication security, prevents fraudulent access, and improves reliability in modern web-based applications
Disclaimer: Curated by HT Syndication.
