MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611113782 A) filed by Chandigarh University on September 23, 2026, for Behavioral Digital Twin System For Autonomous Cyber Fraud Attribution And Predictive Attack Prevention.
Inventors include Swedika Sharma; and Nitish Kumar Sharma.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The present invention relates to a Behavioral Digital Twin system for autonomous cyber fraud attribution and predictive attack prevention. The framework receives authorised digital communication and interaction information, preprocesses the information, extracts behavioural characteristics, and continuously updates a Behavioral Digital Twin. A persistent behavioural signature supports similarity-based attribution across changing digital identities. An intent prediction engine evaluates communication progression, while specialised artificial-intelligence agents and a Fraud Knowledge dashboard correlate behavioural, communication, device, network and transaction-related information. A dynamic risk evaluation function generates an updated fraud-risk level and a preventive-action function can issue warnings, request verification, flag or temporarily delay high-risk payment authorisation, or notify authorised security entities. A protected evidence function preserves analytical records using encryption, integrity verification, immutable logging, blockchain-assisted audit trails and post-quantum cryptographic protection. Continuous learning updates behavioural and analytical states using verified outcomes and feedback.
Disclaimer: Curated by HT Syndication.
