Application of Artificial Intelligence Technologies in Security of Cyber-Physical Systems

Cybersecurity questions of cyber-physical systems (CPS) have become ever more vital in recent times. Advances in technology and digitization have posed new weaknesses in CPS and cyber attackers take advantage of it. Viruses, malware, and sophisticated forms of cyberattacks have become a dangerous reality for critical infrastructure CPS. Lately, artificial intelligence (AI) technology has been extensively applied in the struggle against cyber threats in CPS. AI may improve system security by providing tools to quickly detect cyberthreats and automatically resolve them. Digitization of critical infrastructures (energy distribution networks, smart systems, oil and gas industry, water infrastructure, etc.) has increased their efficient management and at the same time, the number of cyber attackers on sensors, actuators, network and control equipment has also increased. Cyber security of critical objects can be ensured through AI. This article explores the theoretical foundations, application fields, and AI conceptual models. It analyzes the benefits and shortcomings of applying AI technologies to the security of the abovementioned systems. Mechanisms for detecting cyber threats in cyber-physical systems with the help of AI and predicting and preventing security threats are proposed.