MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202641093585 A) filed by Aditya Institute Of Technology And Management; B. Ramesh Naidu; Chinta Chandra Sekhar; and K. Chandra Mouli on August 02, 2026, for Artificial Intelligence-Based Context-Aware Qr Code Phishing Detection System And Method Thereof.
Inventors include B. Ramesh Naidu; Chinta Chandra Sekhar; and K. Chandra Mouli.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: The present invention discloses an artificial intelligence-based context-aware QR code phishing detection system (100) and method (200) thereof. The system (100) comprises a QR code acquisition module (102) configured to receive a QR code image, a QR decoder module (104) configured to decode the QR code image, and a URL extraction module (106) configured to extract a uniform resource locator. The system (100) comprises parallel analysis engines including a context analysis engine (108), domain intelligence engine (110), AI website analysis engine (112), device security analyzer (114), and behavioral analysis engine (116). A threat intelligence fusion engine (118) assigns weighted confidence values to outputs. A dynamic threat score generator (120) computes a dynamic threat score. A decision engine (122) compares the score against a threshold. A user notification module (124) generates security alerts and a secure access controller (126) blocks or permits access based on the dynamic threat score.
Disclaimer: Curated by HT Syndication.
