AI-driven cybersecurity solutions for real-time threat detection in critical infrastructure

Bright Ojo 1, * and Chukwudi Tabitha Aghaunor 2

1 Department of Operations Management, University of Arkansas, Fayetteville, AR, USA.
2 Department of Cybersecurity, Robert Morris University, Pittsburgh, PA, USA.
 
Research Article
International Journal of Science and Research Archive, 2024, 12(02), 1716–1726.
Article DOI: 10.30574/ijsra.2024.12.2.1401
Publication history: 
Received on 15 June 2024; revised on 29 July 2024; accepted on 01 August 2024
 
Abstract: 
Cyber-security as a concept relates to the protection of critical infrastructures that are significant to the security of a nation. Because many security threats have targeted computer-based critical infrastructures, nations have considered it necessary to enhance their security to detect and predict cyber threats accurately. This paper aimed to discuss the role of artificial intelligence (AI) in increasing real-time threat detection to critical infrastructures such as water facilities and transport systems. Through the implementation and application of AI, it is easier to not only detect the threat but also counter it promptly. Thus, the paper discussed the latest AI technologies, the approaches for their use and the cases, for example, the Colonial Pipeline ransomware attack, to demonstrate AI’s capabilities and limitations in this area. Other strategies such as measures and formulation of policies were also considered to ensure sound protection and improvement policies and regulations framework for cybersecurity.
 
Keywords: 
Cybersecurity; Threat Detection; Critical Infrastructure; Colonial Pipeline; Ransomware Attack; Water Systems;Transportation Networks
 
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