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Home - National Award, 2025 - Assessment and optimization of security risks for critical infrastructure

Assessment and optimization of security risks for critical infrastructure

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Work number - P 6 FILED

Presented V.M. Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine

Authors:
1. ATOEV Kostyantyn Leonovych – Candidate of Biological Sciences, Senior Researcher of the V.M. Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine;
2. GORBACHUK Vasyl Mykhailovych – Doctor of Physical and Mathematical Sciences, Professor, Head of the Department of the V.M. Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine;
3. DANILOV Valeriy Yakovych – Doctor of Technical Sciences, Professor, Professor of the Department of Artificial Intelligence of the Educational and Scientific Institute of Applied Systems Analysis of the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”;
4. KYRYLYUK Volodymyr Semenovich - Doctor of Physical and Mathematical Sciences, Leading Researcher of the V.M. Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine;
5. KLYUSHYN Dmytro Anatoliyovych - Doctor of Physical and Mathematical Sciences, Professor, Professor of the Department of Computational Mathematics, Faculty of Computer Science and Cybernetics of Taras Shevchenko National University of Kyiv;
6. KOVALCHUK Lyudmila Vasylivna - Doctor of Technical Sciences, Professor, Leading Researcher of the G.E. Pukhov Institute of Modeling Problems in Energy of the NAS of Ukraine.
7. NORKIN Volodymyr Ivanovich - Doctor of Physical and Mathematical Sciences, Leading Researcher of the V.M. Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine;
8. SEMENOV Volodymyr Viktorovych - Doctor of Physical and Mathematical Sciences, Professor, Professor of the Department of Computational Mathematics, Faculty of Computer Science and Cybernetics, Taras Shevchenko National University of Kyiv.

The study develops a methodology for optimizing security risks for critical infrastructure (CI) sectors based on mathematical modeling of risks and uncertainties. A comprehensive approach is proposed that combines statistical methods for complete samples and modeling for conditions of data deficiency or distortion. All major CI sectors are considered, taking into account the cumulative effect of threats, climate change, pandemics, as well as endogenous and exogenous factors.

Risk assessment methods have been systematized, stochastic and hierarchical dynamic models have been adapted for optimal resource allocation. A new class of polyhedral coherent risk measures, methods for decentralized equilibrium solutions, algorithms for variational inequalities used in CI protection problems, ecological modeling, and machine learning have been proposed. Methods for assessing the stability of cryptographic ciphers, testing crypto primitives, and analyzing the security of smart contracts have been developed.

The results of the work were used within the framework of joint projects of the National Academy of Sciences of Ukraine and the International Institute for Applied Systems Analysis (IIASA), the Ukrainian Science and Technology Center (UNTC) and international educational and scientific programs (Norway, Austria, Moldova, Georgia). An information system for assessing risks in the housing and communal services sector was developed, which allows modeling the dynamics of risks and making management decisions. Machine learning algorithms were implemented in biometric verification, financial forecasting, and environmental sensing. The results were used in the development of national standards for cryptographic information protection (in particular, DSTU 4091:2020), as well as in joint research with leading educational and scientific institutions in Europe.

 

Number of publications: 8 collective monographs (1 published abroad) and 8 textbooks, 92 articles in category "A" journals (80 translated abroad), 93 articles in foreign publications (journals, collective monographs, conference proceedings) and 85 articles in category "B" journals. By quartiles: Q1-Q2 - 42, Q3-Q4 - 65. The total number of references to the authors' publications/h-index for the work according to the databases is respectively: Web of Science 978 / 15, Scopus 1537 / 20, Google Scholar 4003 / 30. 4 patents of Ukraine for a useful model, 2 certificates of copyright registration for a work, 1 national standard of Ukraine was implemented.

National Award, 2025

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