The creation of a methodology for intelligent assessing and managing the security state of complex systems

Authors

DOI:

https://doi.org/10.15587/1729-4061.2026.352032

Keywords:

multidimensionality of assessment, complex systems, fficiency of decision-making, efficiency, bio-inspired algorithms

Abstract

Complex technical systems are the object of the study. The problem that is solved in the study is an increase in the level of security of complex technical systems. The originality of the study consists in:

– comprehensive assessment of the security state of complex technical systems due to multi-level assessment using the theory of artificial intelligence;

– reduced error in assessing the security state of a complex technical system due to the human factor due to the verification of the parameters of a complex technical system;

– selection of the best individuals in bio-inspired algorithms, due to the use of an improved genetic algorithm, which achieves an increase in the efficiency and reliability of the obtained decisions and evaluations;

– make accurate decisions by individually adjusting the actions of agents in each bio-inspired algorithm;

– eliminating the conflict between agents in improved bio-inspired algorithms, which increases the efficiency and reliability of decisions made regarding the security state of complex technical systems;

– implementation of deep learning of knowledge bases of agents of each bio-inspired algorithm, due to the method of deep learning, which achieves an increase in the efficiency and reliability of assessments and control effects on the security state of complex technical systems.

Modeling of the proposed methodology was carried out, during which it was established that increasing the security of complex technical systems is achieved by increasing the efficiency of decision-making at the level of 15−17% due to the use of additional procedures and ensuring the reliability of decisions made at the level of 0.91.

This study can be used in practice when taking into account the delay time for collecting and proving information from sensors (sensors) of complex technical systems.

Author Biographies

Hennadii Miahkykh, National Defence University of Ukraine

Adjunct

Institute of Information and Communication Technologies and Cyber Defense

Oleg Sova, National Defence University of Ukraine

Doctor of Technical Sciences, Professor Head of Center

Center of Simulation Modeling

Olha Salnikova, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»

Doctor of Science in Public Administration, Senior Research Fellow, Honored Worker of Science and Technology of Ukraine, Professor

Department of Theory and Practice of Management

Oleksandr Zhuk, National Defence University of Ukraine

Doctor of Technical Sciences, Professor, Head of Department

Department of Communication Technologies and Cyber Protection

Iraida Stanovska, Odesa Polytechnic National University

Doctor of Technical Sciences, Professor

Department of Higher Mathematics and Modeling Systems

Yevheniia Arkhypova, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»

PhD, Associate Professor

Department of Theory and Practice of Management

Yuliia Vakulenko, Poltava State Agrarian University

PhD, Associate Professor

Department of Information Systems and Technologies

Oleksii Nalapko, Central Scientifically-Research Institute of Armaments and Military Equipment of the Armed Forces of Ukraine

Doctor of Philosophy (PhD)

Scientific and Organizational Department

Dmytro Balan, Military Institute of Telecommunications and Informatization named after Heroes of Krut

Senior Lecturer

Department of Information Systems and Technologies

Vitaliy Bereza, Military Institute of Telecommunications and Informatization named after Heroes of Krut

Lecturer

Department of Information Systems and Technologies

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The creation of a methodology for intelligent assessing and managing the security state of complex systems

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Published

2026-02-27

How to Cite

Miahkykh, H., Sova, O., Salnikova, O., Zhuk, O., Stanovska, I., Arkhypova, Y., Vakulenko, Y., Nalapko, O., Balan, D., & Bereza, V. (2026). The creation of a methodology for intelligent assessing and managing the security state of complex systems. Eastern-European Journal of Enterprise Technologies, 1(3 (139), 24–34. https://doi.org/10.15587/1729-4061.2026.352032

Issue

Vol. 1 No. 3 (139) (2026): Control processes

Section

Control processes

License

Copyright (c) 2026 Hennadii Miahkykh, Oleg Sova, Olha Salnikova, Oleksandr Zhuk, Iraida Stanovska, Yevheniia Arkhypova, Yuliia Vakulenko, Oleksii Nalapko, Dmytro Balan, Vitaliy Bereza

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