RESEARCH OF CLOUD TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE METHODS FOR THE IMPLEMENTATION OF TECHNOLOGICAL PROCESSES IN CRITICAL INFRASTRUCTURE OF THE STATE

29 May RESEARCH OF CLOUD TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE METHODS FOR THE IMPLEMENTATION OF TECHNOLOGICAL PROCESSES IN CRITICAL INFRASTRUCTURE OF THE STATE

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The article is devoted to the study of cloud technologies and artificial intelligence methods for supporting technological processes in a state’s critical infrastructure. It was found that the objective contradiction between the practical need for multi‑parameter monitoring, automation, and cyber protection of technological processes and the scientific and methodological insufficiency of existing approaches. Existing approaches fail to provide the integrated use of cloud technologies to support such critical processes.

The research formalizes a future scientific task aimed at developing new methods and models based on cloud technologies. These proposed models are designed to increase the efficiency and flexibility of managing technological processes in critical infrastructure. Another key goal is to create tools for the multi‑parameter monitoring of key performance indicators. The research also seeks to improve information and communication systems and networks for the automation of industrial processes. Ensuring an appropriate level of cyber data protection — including confidentiality, integrity, and availability — is a central requirement.

The paper aims to form holistic approaches, methodologies, and recommendations for implementing cloud technologies in state critical infrastructure. A systematic analysis of recent research and publications on topics like IoT security, 5G for predictive maintenance, and AI in transport systems is conducted. The study reviews works on privacy preservation for industrial IoT, the threat of technological obsolescence in energy, and the impact of climate change on urban water supply. It also examines the role of nanotechnology, AI ethics in healthcare, software quality in IoT, and biometric technologies in logistics.

The contradiction is mathematically formalized by stating that while support systems must be effective, secure, and continuous, no legacy solutions currently meet all requirements. The paper concludes that developing new models is necessary to find at least one solution that satisfies all set requirements. Ultimately, this research underscores the critical need for novel, cloud‑based methods to overcome current scientific and practical gaps in securing and managing a state’s critical infrastructure.

Author: Oksana TSUKAN, Kharkiv National University of Internal Affairs

References

  1. Smirnova, T. (2025). Research of cloud technologies and artificial intelligence methods for the implementation of technological processes in critical infrastructure of the state. Electronic Professional Scientific Journal «Cybersecurity: Education, Science, Technique», 3(31), 8–26. https://doi.org/10.28925/2663-4023.2025.31.963
  2. Martynov, S., Kunytskyi, S., Shatnyi, N., Ivanchuk, O., & Galkina, O. (2022). Optimization of the technological process of deironing groundwater in critical water supply infrastructure of settlements. 2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT), 535–538. https://doi.org/10.1109/CSIT56902.2022.10000724
  3. Teichmann, F. (2025). Cybersecurity of critical infrastructure in Europe: The NIS2 directive in focus. International Cybersecurity Law Review, 6, 207–220. https://doi.org/10.1365/s43439-025-00154-4
  4. Pastorek, A., & Tundis, A. (2024). Navigating the landscape of IoT security and associated risks in critical infrastructures. Proceedings of the 19th International Conference on Availability, Reliability and Security (ARES ’24), Article 112, 1–7. https://doi.org/10.1145/3664476.3669979

 

Keywords

#critical infrastructure security, information technology, technological processes, cloud technologies, artificial intelligence