Enhancing resilience and security in the U.S. power grid against cyber-physical attacks
1 Department of Computer Sciences, Western Illinois University, Macomb Illinois USA,
2 Department of Applied Statistics and Decision Analytics, Western Illinois University, Macomb Illinois USA.
Research Article
World Journal of Advanced Research and Reviews, 2024, 22(02), 1043–1052
Publication history:
Received on 08 April 2024; revised on 14 May 2024; accepted on 16 May 2024
Abstract:
The U.S. power grid faces increasing risks from cyber-physical attacks that could disrupt essential services and compromise national security. The fusion of artificial intelligence with cybersecurity protocols is perceived to present a consequential shift in the current efforts to safeguard critical infrastructures. This manuscript aims to identify the most critical vulnerabilities within the power grid's infrastructure, develop advanced machine learning-based threat detection systems, and propose automated response mechanisms to mitigate impacts effectively. By integrating comprehensive vulnerability assessments, innovative detection technologies, and autonomous response strategies, this study seeks to enhance the resilience of the power grid against sophisticated cyber threats.
Keywords:
Energy grid; Cyber-physical security; Cyber-attack; IoT and non IoT Devices; AI-driven cybersecurity; Vulnerabilities.
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Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0