Risk analysis and cybersecurity enhancement of Digital Twins in dairy production

Authors

DOI:

https://doi.org/10.15587/2706-5448.2025.325422

Keywords:

Digital Twins, industrial Internet of Things, monitoring, control and threat modeling, technological risks, food industry, information systems security

Abstract

The object of research is technological and technical processes that affect the effectiveness of developing a system with Digital Twins and ensuring cyber security using the example of the dairy industry.

The work is aimed at solving the problems in the sector of a comprehensive system for monitoring production processes with the possibility of early detection of deviations and potential threats. This, in turn, can lead to a decrease in product quality and an increase in cyber security risks.

During the implementation of the research, Digital Twins of the main technological areas was developed using the example of a dairy enterprise, namely: receiving, apparatus and dietary departments. This approach provides for the collection and analysis of data on production parameters (pasteurization temperature, level in tanks, etc.), and also integrates the results of laboratory control. It was found that technological risks have the greatest impact on the effectiveness of the functioning of production processes, and security risks directly account for 35 % of the total threat structure. This is partly due to one of the main problems in the sector of insufficient data protection and possible external interference, including during cyber attacks. In addition, the analysis identified three risk groups (a total of 13 factors), which further allowed to determine their impact on the efficiency of production as a whole. This, in turn, allowed to draw a preliminary conclusion that the use of cybersecurity risk management strategies reduces the likelihood of technical failures and information threats at an industrial enterprise. The results of modeling Digital Twins of the main technological areas using the example of a dairy enterprise showed that the implementation of strategies from the security risk group increases the efficiency of the project by 4%. The results obtained can be used to increase the level of cybersecurity and monitor production processes in the dairy industry and other agro-industrial sectors. The developed Digital Twins can be integrated into quality and safety management systems for food production, in particular, for enterprises operating in conditions of increased risks of cyber threats.

Supporting Agency

  • The work was carried out within the framework of the state budget theme of the young scientists' project No. 1-24-25 of the State Budgetary Fund “Development of hardware and technological solutions for the production of multi-purpose polycomponent organic semi-finished products and food products in conditions of military operations and post-war reconstruction of the country”.

Author Biographies

Tetiana Savchenko, National University of Kyiv-Mohyla Academy

PhD, Associate Professor

Department of Informatics

Nataliia Lutska, National University of Food Technology

Doctor of Technical Sciences, Professor

Department of Automation and Computer Technologies of Control Systems named after Prof. A. P. Ladanyuk

Lidiia Vlasenko

PhD, Associate Professor

Mariana Sashnova, State University of Trade and Economics

PhD, Associate Professor

Department of Software Engineering and Cybersecurity

Andrii Zahorulko, State Biotechnological University

PhD, Associate Professor

Department of Equipment and Engineering of Processing and Food Production

Sofiia Minenko, State Biotechnological University

PhD, Senior Lecturer

Department of Management, Business and Administration

Eldar Ibaiev, State Biotechnological University

PhD Student

Department of Equipment and Engineering of Processing and Food Production

Nataliia Tytarenko, State Biotechnological University

Department of Equipment and Engineering of Processing and Food Production

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Risk analysis and cybersecurity enhancement of Digital Twins in dairy production

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Published

2025-03-31

How to Cite

Savchenko, T., Lutska, N., Vlasenko, L., Sashnova, M., Zahorulko, A., Minenko, S., Ibaiev, E., & Tytarenko, N. (2025). Risk analysis and cybersecurity enhancement of Digital Twins in dairy production. Technology Audit and Production Reserves, 2(2(82), 37–49. https://doi.org/10.15587/2706-5448.2025.325422

Issue

Section

Systems and Control Processes