Stochastic Modeling and Optimization Methods for Critical Infrastructure Protection, Volume 1

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A01=Alexei A. Gaivoronski
A01=Pavel S. Knopov
A01=Vladimir I. Norkin
A01=Volodymyr A. Zaslavskyi
Author_Alexei A. Gaivoronski
Author_Pavel S. Knopov
Author_Vladimir I. Norkin
Author_Volodymyr A. Zaslavskyi
Category=KCS
Category=UNA
Category=UYZM
cryptographic information protection
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
infrastructure
infrastructure protection
instability
optimization
risk assessment
Shannon's theory of secret systems
stochastic modeling
system vulnerabilities
systemic interdependencies
technospheres
uncertainty

Product details

  • ISBN 9781836690276
  • Publication Date: 08 Jul 2025
  • Publisher: ISTE Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

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.

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