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Cyber Security Education by integrating Digital Twins and Generative AI

Publié
Serveur de preprints
Preprints.org
DOI
10.20944/preprints202511.1203.v1

Cybersecurity is the practice of protecting digital system from cyber threats such as hacking, malware, and phishing attacks. It helps in protecting from the Cyber-attacks through different strategies like Antivirus software etc. Cyber Physical Systems (CPS) rely on advanced communication.Cyber Physical Systems (CPS) control technologies to efficiently manage devices. It also helps the flow of information in the system. However, it has limitations with respect to modifying physical configuration and difficulty to scale. Cyber Physical Systems (CPS) is controlled through offline mode by different experts for different Cyber attacks on Cyber Physical Systems (CPS). Cyber attacks are getting more advanced and lethal. Traditional pedagogical approaches often struggle to simulate real-world cybersecurity challenges, limiting experiential learning. To overcome this shortcoming , using the Digital Twins (DTs) and Generative Artificial Intelligence (Gen AI).The rapid advancement in Digital Twins (DTs) and Generative Artificial Intelligence (Gen AI). Integration of Digital Twins (DTs) and Generative Artificial Intelligence (Gen AI). cybersecurity management is Particularly in fields that require analytical reasoning and regulatory compliance. enhancing standards to support cybersecurity, and ensuring Digital Twins (DTs) and Generative Artificial Intelligence (Gen AI) can be fully integrated in Cybersecurity. The developed twin has advanced features compared to any equivalent system in the literature When coupled with Generative Artificial Intelligence (Gen AI) models for Cybersecurity.Large Language Models (LLMs) further enhance the experience by generating threat narratives, adaptive feedback, and role-based attack defense scenarios.

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