MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511112811 A) filed by Kiet Group Of Institutions, Ghaziabad, Uttar Pradesh, on Nov. 17, 2025, for 'intelligent adaptive access control system using multi-modal behavioural biometrics and federated anomaly detection.'
Inventor(s) include Mr. Saurabh Choudhary; and Dr. Sachin Malhotra.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The invention provides an intelligent, adaptive access control system integrating multi-modal behavioural biometrics, environmental monitoring, and digital activity analytics to enable real-time risk-based access decisions. The system employs wearable IoT devices to monitor physiological signals including heart rate variability, electrodermal activity, and skin temperature, alongside environmental sensors tracking movement, electromagnetic fields, and air quality, and digital aggregators capturing login events, command execution, and application usage. A federated machine learning engine generates role-specific behavioural profiles locally on edge devices, preserving privacy by design. Hybrid anomaly detection using Mahalanobis distance for structured behaviour, autoencoder neural networks for biometric deviations, and Bayesian inference produces a composite risk score used to dynamically control access through smart actuators. The system ensures compliance with privacy regulations, anonymizes alerts, and maintains ephemeral data, thereby providing continuous, context-aware, zero-trust access management in high-security environments."
Disclaimer: Curated by HT Syndication.
