WSEAS Transactions on Systems and Control
Print ISSN: 1991-8763, E-ISSN: 2224-2856
Volume 18, 2023
Analysis of Practical Machine Learning Scenarios for Cybersecurity in Industry 4.0
Authors: , , ,
Abstract: In recent years, the widespread adoption of Artificial Intelligence (AI) has been propelled by global technological advancements. Some organizations view AI as a potential threat to their cybersecurity, while others regard it as a way to advance and attain cyber resilience. The recent progress in AI has resulted in the publication of various frameworks and regulations, including notable examples such as the EU AI Act. While certain nations and governments are prudently assessing the risks associated with widespread AI deployment, threat actors are already exploiting these emerging opportunities. In this paper, we delve into an examination of the utilization of artificial intelligence methods in the realm of cybersecurity within the context of Industry 4.0. Additionally, we provide an in-depth exploration of the obstacles, motivations, and essential requirements that warrant meticulous consideration when deploying these AI approaches to bolster the cybersecurity landscape in Industry 4.0.
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Pages: 444-459
DOI: 10.37394/23203.2023.18.48