MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511113255 A) filed by Integral University, Lucknow, Uttar Pradesh, on Nov. 18, 2025, for 'an adaptive neuro-fuzzy deep learning system for real-time cyber threat prediction and autonomous defense.'
Inventor(s) include Gazia Nasir; and Punit Kumar Singh.
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: "Disclosed herein is an adaptive neuro-fuzzy deep learning system for real-time cyber threat prediction and autonomous defense (100) integrates multiple intelligent modules for holistic protection. A hybrid neuro-fuzzy deep learning module (102) fuses fuzzy inference with deep neural networks, while a self-evolving threat intelligence engine (104) utilizes evolutionary algorithms. A context-aware anomaly detection module (106) generates contextual embeddings, and an autonomous defense layer (108) employs reinforcement learning for real-time responses. Lightweight edge integration (110) ensures distributed deployment, enhanced by a quantum-inspired module (112) for encrypted traffic. Emotional AI-driven profiling (114) and adaptive deception (116) strengthen defense adaptability. Multi-modal fusion (118), cognitive anticipation (120), blockchain auditing (122), neuromorphic optimization (124), cross-domain adaptation (126), privacy-preserving analytics (128), and socio-technical correlation (130) ensure predictive, secure, and interpretable cyber defense."
Disclaimer: Curated by HT Syndication.
