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

Published on: May 08, 2024

Impact Score: 7.8

Arxiv code: Arxiv:2405.04874

Summary

• What is new: The use of Generative AI and Large Language Models (LLMs) for enhancing Critical Infrastructure Protection (CIP) against cybersecurity threats.
• Why this is important: Critical National Infrastructure (CNI) is increasingly vulnerable to cyberattacks, threatening national security and public safety.
• What the research proposes: A comprehensive method for CIP using Generative AI and LLMs, focusing on trust, privacy, and resilience, along with integration of safety and security.
• Results: Innovative approaches for safeguarding CNI against evolving cyberattacks and improved understanding of cybersecurity issues related to critical infrastructure.

Technical Details

Technological frameworks used: Generative AI and Large Language Models

Models used: nan

Data used: nan

Potential Impact

Cybersecurity providers, critical infrastructure operators, regulatory bodies

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