MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511114098 A) filed by Integral University, Lucknow, Uttar Pradesh, on Nov. 20, 2025, for 'an adaptive metaheuristic-driven dark web information retrieval and threat optimization system using evolutionary intelligence.'
Inventor(s) include Syed Aqeel Ahmad; and Faizan Mahmood.
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 metaheuristic-driven dark web information retrieval and threat optimization system using evolutionary intelligence (100) integrates multiple intelligent modules for autonomous cyber intelligence discovery. The evolutionary query generation engine (102) evolves and optimizes search queries, while a multi-layer dark web crawler (104) applies swarm-based exploration-exploitation balancing to extract high-value intelligence. A fitness-optimized relevance ranking module (106) dynamically ranks results based on semantic and temporal threat significance. The threat intelligence evolution module (108) employs evolutionary clustering to predict emerging malicious patterns, supported by a privacy-preserving agent communication network (110) ensuring secure, anonymous data exchange. A multi-objective optimization module (112) performs Pareto balancing among performance parameters, and an adaptive ontology generator (114) refines domain vocabularies through reinforcement learning. The intelligent retrieval agent swarm (116) collaboratively evolves query strategies, while an evolutionary threat forecasting engine (118) predicts cybercrime trends, and a self-healing optimization unit (120) maintains uninterrupted system resilience."
Disclaimer: Curated by HT Syndication.
