MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202631069885 A) filed by Asansol Engineering College on June 04, 2026, for “an Intelligent Multi-Factor Authentication System Using Behavioral Biometrics And Machine Learning”.
Inventors include Dr. Vedatrayee Chatterjee; Sumanta Karmakar; and Dr. Sambit S Mondal.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: Abstract An intelligent multi-factor authentication system incorporates behavioral biometrics and machine learning architectures to deliver continuous, real-time digital identity validation and active threat mitigation. The system continuously intercepts user interaction metrics, such as keystroke timing dynamics, mouse trajectories, touchscreen pressure profiles, and voice acoustics, and processes these signals via an optimized feature extraction pipeline to establish unique digital signatures. A machine learning classification engine utilizes trained neural networks and anomaly detection models to differentiate legitimate account operators from unauthorized intruders or automated scripts. Simultaneously, an adaptive risk analysis framework evaluates behavioral deviation scores alongside contextual metadata, including geolocation parameters and network indicators, to continuously modulate security controls. Step-up multi-factor validation or automated session lockouts are dynamically triggered upon threat detection, protecting critical distributed networks against session hijacking and identity theft.
Disclaimer: Curated by HT Syndication.
