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Critical Infrastructure Protection: Generative AI, Challenges, and Opportunities by Yigit, Yagmur; Ferrag, Mohamed Amine; Sarker, Iqbal H.; Maglaras, Leandros A.; Chrysoulas, Christos; Moradpoor, Naghmeh; Janicke, Helge is a scholarly article available to read on EtoBox.

What is Critical Infrastructure Protection: Generative AI, Challenges, and Opportunities about?

Critical National Infrastructure (CNI) encompasses a nation's essential assets that are fundamental to the operation of society and the economy, ensuring the provision of vital utilities such as energy, water, transportation, and communication. Nevertheless, growing cybersecurity threats targeting these infrastructures can potentially interfere with operations and seriously risk national security and public safety. In this paper, we examine the intricate issues raised by cybersecurity risks to vital infrastructure, highlighting these systems' vulnerability to different types of cyberattacks. We analyse the significance of trust, privacy, and resilience for Critical Infrastructure Protection (CIP), examining the diverse standards and regulations to manage these domains. We also scrutinise the co-analysis of safety and security, offering innovative approaches for their integration and emphasising the interdependence between these fields. Furthermore, we introduce a comprehensive method for CIP leveraging Generative AI and Large Language Models (LLMs), giving a tailored lifecycle and discussing specific applications across different critical infrastructure sectors. Lastly, we discuss

Author

Yigit, Yagmur; Ferrag, Mohamed Amine; Sarker, Iqbal H.; Maglaras, Leandros A.; Chrysoulas, Christos; Moradpoor, Naghmeh; Janicke, Helge

Published

2024

Language

EN