Edited by
Alexei A. Gaivoronski, Norwegian University of Science and Technology, Norway.
Pavel S. Knopov, V.M. Glushkov Institute of Cybernetics, Ukraine.
Vladimir I. Norkin, V.M. Glushkov Institute of Cybernetics, Ukraine.
Volodymyr A. Zaslavskyi, Taras Shevchenko National University of Kyiv, Ukraine.
ISBN : 9781836690276
Publication Date : May 2025
Hardcover 288 pp
165.00 USD
Co-publisher
Stochastic Modeling and Optimization Methods for Critical Infrastructure Protection is a thorough exploration of mathematical models and tools that are designed to strengthen critical infrastructures against threats – both natural and adversarial. Divided into two volumes, this first volume examines stochastic modeling across key economic sectors and their interconnections, while the second volume focuses on advanced mathematical methods for enhancing infrastructure protection.
The book covers a range of themes, including risk assessment techniques that account for systemic interdependencies within modern technospheres, the dynamics of uncertainty, instability and system vulnerabilities. The book also presents other topics such as cryptographic information protection and Shannon’s theory of secret systems, alongside solutions arising from optimization, game theory and machine learning approaches.
Featuring research from international collaborations, this book covers both theory and applications, offering vital insights for advanced risk management curricula. It is intended not only for researchers, but also educators and professionals in infrastructure protection and stochastic optimization.
Part 1. Model-Based Risk Management in Critical Economic Sectors.
1. Integrated Solutions and Distributed Models’ Linkage Procedures for Food–Energy–Water–Environmental Nexus Security Modeling and Management, Tatiana Y. Ermolieva, Anatoly G. Zagorodny, Viacheslav L. Bogdanov, Petr Havlik, Elena Rovenska, Nadejda Komendantova and Pavel S. Knopov.
2. Integrated Modeling for Managing Catastrophic Risks: Vulnerability Analysis and Systemic Risks Management, Nadejda Komendantova, Tatiana Y. Ermolieva, Taher Zobeidi, Iuliana Armas, Dragos Toma-Danila and Marcel Hürlimann.
3. Robust Statistical Estimation and Two-Stage Stochastic Optimization: Quantile Regression EPIC Meta-Model of Soil Organic Carbon for Robust Decision Making with GLOBIOM, Tatiana Y. Ermolieva, Petr Havlik, Andrey Lessa-Derci-Augustynczik, Stefan Frank, Andre Deppermann, Andrè (Mahdi) Nakhavali, Juraj Balkovi?, Rastislav Skalsky and Nadejda Komendantova.
4. A Multi-Stage Multi-Horizon Stochastic Equilibrium Model of Multi-Fuel Energy Markets, Zhonghua Su, Alexei A. Gaivoronski and Asgeir Tomasgard.
5. Modeling for Diversification and Optimization of the Electricity Generation Capacities in the Energy Sector, Volodymyr A. Zaslavskiyi and Maya Pasichna.
Part 2. Reliability Theory for Ensuring Safety of Critical Infrastructure Facilities.
6. Methods of Risk Assessment in Environmentally Hazardous Industries, Pavel S. Knopov, Aleksandr N. Golodnikov, Volodumir A. Pepelyaev and Liliia B. Vovk.
7. Application of the Type-Variety Principle in the Formation of a Complex of Non-Destructive Testing Technologies for Critical Infrastructure, Volodymyr A. Zaslavskiyi.
8. The Type-Variety Principle, Mathematical Models and Algorithms for the Optimization of the Reliability of Series–Parallel and Parallel–Series Systems, the Elements of Which Allow Two Types of Failures, Volodymyr A. Zaslavskiyi and Oleg Franchuk.
9. Mathematical Models for the Study of Critical Infrastructure Vulnerability, Konstantin Atoyev.
Alexei A. Gaivoronski is Professor at the Norwegian University of Science and Technology, Norway. His research focuses on risk theory, and its applications in finance, energy, telecommunications and stochastic optimization.
Pavel S. Knopov is Head of Department at V.M. Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine. His research focuses on statistical decision theory, stochastic optimal control and stochastic optimization.
Vladimir I. Norkin is Leading Researcher at V.M. Glushkov Institute of Cybernetics, Ukraine. His research focuses on operations research.
Volodymyr A. Zaslavskyi is Professor at the Taras Shevchenko National University of Kyiv, Ukraine. His research focuses on systems analysis, risk and the reliability of critical systems.
