Publication result detail

Integrative Modelling and Resilience Enhancement in Critical Infrastructure Systems: A Comprehensive Approach

FUJDIAK, R.; VRTAL, M.; PRAKS, P.; BENEDIKT, J.; TOMAN, P.; BĚLOCH, M.

Original Title

Integrative Modelling and Resilience Enhancement in Critical Infrastructure Systems: A Comprehensive Approach

English Title

Integrative Modelling and Resilience Enhancement in Critical Infrastructure Systems: A Comprehensive Approach

Type

Paper in proceedings (conference paper)

Original Abstract

The increasing complexity and interconnectedness of critical infrastructure systems necessitate advanced analytical capabilities for effective management and resilience enhancement. This paper addresses the inadequacy of traditional modelling tools in handling the dynamic and heterogeneous nature of modern infrastructures, focusing on power distribution networks, communication networks, and control systems. We propose an integrative modelling approach that combines system dynamics, agent-based modelling, and probabilistic risk assessments, supported by real-time data analytics and machine learning. This methodology enables comprehensive simulation and evaluation of infrastructure resilience, providing significant benefits for operators, planners, and policymakers. The paper discusses the theoretical underpinnings, detailed methodologies, and practical applications, offering insights into enhancing resilience against various operational challenges and external threats.

English abstract

The increasing complexity and interconnectedness of critical infrastructure systems necessitate advanced analytical capabilities for effective management and resilience enhancement. This paper addresses the inadequacy of traditional modelling tools in handling the dynamic and heterogeneous nature of modern infrastructures, focusing on power distribution networks, communication networks, and control systems. We propose an integrative modelling approach that combines system dynamics, agent-based modelling, and probabilistic risk assessments, supported by real-time data analytics and machine learning. This methodology enables comprehensive simulation and evaluation of infrastructure resilience, providing significant benefits for operators, planners, and policymakers. The paper discusses the theoretical underpinnings, detailed methodologies, and practical applications, offering insights into enhancing resilience against various operational challenges and external threats.

Keywords

critical; infrastructures; resilience; modelling

Key words in English

critical; infrastructures; resilience; modelling

Authors

FUJDIAK, R.; VRTAL, M.; PRAKS, P.; BENEDIKT, J.; TOMAN, P.; BĚLOCH, M.

RIV year

2026

Released

07.11.2024

Publisher

Institution of Engineering and Technology

Book

IET Conference Proceedings

ISBN

2732-4494

Periodical

IET conference proceedings

Volume

2024

Number

27

State

United Kingdom of Great Britain and Northern Ireland

Pages from

325

Pages to

329

Pages count

5

URL

https://digital-library.theiet.org/doi/10.1049/icp.2024.2625

BibTex

@inproceedings{BUT191148,
  author="Radek {Fujdiak} and Matěj {Vrtal} and Pavel {Praks} and Jan {Benedikt} and Petr {Toman} and Michal {Běloch}",
  title="Integrative Modelling and Resilience Enhancement in Critical Infrastructure Systems: A Comprehensive Approach",
  booktitle="IET Conference Proceedings",
  year="2024",
  journal="IET conference proceedings",
  volume="2024",
  number="27",
  pages="325--329",
  publisher="Institution of Engineering and Technology",
  doi="10.1049/icp.2024.2625",
  url="https://digital-library.theiet.org/doi/10.1049/icp.2024.2625"
}