MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641046982 A) filed by Buvana M on April 13, 2026, for Crimeverse-X (an Adaptive Ai Driven Multiplayer Platform For Real Time Cybercrime Investigation And Simulation).
Inventors include Dharshan D; Hariprasath V; Jagadheesh B; and Buvana M.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: ABSTRACT The increasing sophistication and prevalence of cybercrimes necessitate advanced simulation platforms capable of replicating realistic attack scenarios and investigative work flows for cybersecurity training and research. Disclosed herein is Crime Verse X, an adaptive, artificial intelligence-driven multiplayer platform designed to enable real-time cybercrime simulation and investigation within an interactive digital environment. CM OO O CD Tf o CD CM O cs in CD CM O CM The proposed system integrates deep learning models, generative artificial intelligence, and knowledge-based reasoning to dynamically construct and evolve complex cybercrime scenarios, including but not limited to ransomware attacks, data breaches, insider threats, deepfake-enabled fraud, and cryptocurrency-related offenses. A role-based system architecture segregates administrative control from participant interaction, facilitating structured case orchestration, automated evidence synthesis, and both collaborative and competitive investigation modes. I I L ! b t I Central to the invention is the Cyber Al Crime Master Engine, a dynamic orchestration module configured to generate adaptive crime narratives, forensic artifacts, and scenario difficulty levels in response to real-time user behavior and investigative decision patterns. The platform incorporates multiple specialized artificial intelligence modules for intrusion detection, synthetic media analysis, blockchain transaction tracing, and threat intelligence correlation, thereby enabling comprehensive simulation of modem cybercrime ecosystems. Experimental evaluations indicate that the adaptive simulation framework significantly improves investigative realism, user engagement, and learning outcomes when compared to conventional static training systems. The disclosed platform provides a scalable, extensible, and immersive environment for experiential cybersecurity education, digital forensics training, and cybercrime research. This invention demonstrates the applicability of integrated knowledge-based and generative artificial intelligence systems in advancing cyber defense simulation and training technologies.
Disclaimer: Curated by HT Syndication.
