Leveraging AI and Machine Learning for the Protection of Critical National Infrastructure
Asian Journal of Research in Computer Science · pp. 1–11 · Published 27 Sep 2024
10.9734/ajrcos/2024/v17i10505Abstract
No nation can exist or survive without critical infrastructure (CI), which is why a nation’s growth, development, welling, standard of living, possessions, and even governance are weighed by the kind of CI obtained therein. There are growing concerns about the need and how to protect CI from cyber threats in the 21st century era of digitalization. This descriptive survey research aims at showing how artificial intelligence (AI) and machine learning (ML) can be leveraged for the protection of critical national infrastructure (CNI). The study relies on secondary data, which are subjected to thematic systematic review. Interpretive and descriptive analytic techniques are used. The analysis shows that leveraging AI and ML for the protection can yield huge results, as they optimize detection of and response to threats, facilitate efficient physical maintenance, optimally evaluate and manage risks, increase awareness, and simulate and train human employees in the CNI sector. The study concludes that these cutting edge technologies have more capacities and opportunities for the protection of CNI from cyber threats than other non-technological and less advanced technological mechanisms. It calls on stakeholders, especially national governments and authorities of the organizations involved in CNI, to make concerted efforts to surmount the challenges of AI and ML adoption and ensure significant protection of CNI across nations of the globe. Doing so would pave way for extensive practical usage of AI and ML for the protection of CNI.
Cited by 17
Adeyemi Zaheed Oshilalu · International Journal of Research Publication and Reviews · 2024
Adedotun Christopher Adeniyi, Oluwatobiloba Okusi · African Journal of Humanities and Contemporary Education Research · 2024
Sydney Anuyah, Mallika K Singh, Hope Nyavor · World Journal of Advanced Research and Reviews · 2024
Amarachi Helen Maduakor · International Journal of Research Publication and Reviews · 2024
Robb Shawe · American Journal of Industrial and Business Management · 2025
Qing-Qing Jiang, Juan-Juan Zhu, Shu-Ling Fan · Asian Biomedicine · 2024
Ebubechukwu Ozurumba, Ifeanyi Princewill Eboh · International Journal of Research Publication and Reviews · 2024
Joy Uchechukwu Mba · International Journal of Science and Research Archive · 2024
JOYCE IFEOMA OBIDIEBUBE, ANTHONIA CHIKA IKWELLE, BLESSING OSELUMESE IWUAGWU · International Journal of Library Science and Educational Research · 2025
Adebobola Omowon · International Journal of Research Publication and Reviews · 2024
Related research
- Risk of AI in Healthcare: A Comprehensive Literature Review and Study Framework — shares topic coverage
- The Role of AI in Epidemiological Research: Applications, Benefits, and Risks in Modern Public Health — shares topic coverage
- Infusing Intent and Its Management into Turing Machine: A Path to Cognitive Distributed Computing — shares topic coverage
- Digital Technology: A Game Changer in Vegetable Cultivation — shares topic coverage
- AI Tool for Sustainable Project Management Construction (SPMC) — shares topic coverage
Article metrics
Real usage data collected on this platform.
18
Page views
0
PDF downloads
2
Outbound clicks
17
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.