Title : Enabling Cyber Security Education through Digital Twins and Generative AI
Author : G.Prabhakar, N.Savitha, Ameena nasreen
Abstract :
Digital Twins (DTs) are gaining prominence in cybersecurity for their ability to replicate complex IT (Information Technology), OT (Operational Technology), and IoT (Internet of Things) infrastructures, allowing for real-time monitoring, threat analysis, and system simulation. This study investigates how integrating DTs with penetration testing tools and Large Language Models (LLMs) can enhance cybersecurity education and operational readiness. By simulating realistic cyber en- vironments, this approach offers a practical, interactive framework for exploring vulnerabilities and defensive strategies. At the core of this research is the Red Team Knife (RTK), a custom penetration testing toolkit aligned with the Cyber Kill Chain model. RTK is designed to guide learners through key phases of cyber-attacks including reconnais- sance, exploitation, and response—within a DT-powered ecosystem. The incorporation of Large Language Models (LLMs) further enriches the experience by providing inte
