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The Role of Artificial Intelligence in Optimizing Cybersecurity for Industrial Control Systems
Abstract
One of the most important advances today in the battle against cyber threats aimed at critical infrastructure is the growing use of artificial intelligence (AI) technology for industrial control systems (ICS) cybersecurity. AI technologies such as machine learning and deep learning have strengthened ICS security through their provision of real-time threat detection, predictive analysis, and automated incident response. Both of these abilities promote more efficient and accurate security systems; they diminish the need for humans to interact with them and help combat exaggerated/false positives. However, challenges remain such as how to ensure privacy, meet regulatory requirements, and connect AI products to existing networks. In the environment of ICS and as cloud environments get increasingly interlinked with other platforms like IoT (Internet of Things) a basic necessity for IoT security is that AI-powered production security solutions are needed. The paper explores which AI techniques are best and most appropriate for ICS cybersecurity,
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