MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641074346 A) filed by Vellore Institute Of Technology on June 16, 2026, for Quantum-Resilient Edge Ai Framework For Predictive Risk Detection In Iot Systems.
Inventor includes Jafar Ali Ibrahim S.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: ABSTRACT QUANTUM-RESILIENT EDGE AI FRAMEWORK FOR PREDICTIVE RISK DETECTION IN IOT SYSTEMS A method (100) for real-time predictive risk detection in a distributed Internet of Things environment comprises acquiring data from a plurality of IoT sensors (102), preprocessing the acquired data and generating a predictive risk score using an edge-based artificial intelligence model (110, 112), validating integrity and authenticity of the data using a post-quantum cryptographic mechanism and generating a security trust score (104, 106, 116), computing an optimization score using a quantum-inspired optimization technique (114), computing a composite risk score by combining the predictive risk score, the optimization score, and the security trust score using adaptive weighting factors (118), and triggering an action based on the composite risk score (122, 124).
Disclaimer: Curated by HT Syndication.
