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Resilience analysis of interdependent critical infrastructure systems considering deep learning and network theory

  • Published:2021-12 Issue: Volume:35 Page:100459
  • ISSN:1874-5482
  • Container-title:International Journal of Critical Infrastructure Protection
  • language:en
  • Short-container-title:International Journal of Critical Infrastructure Protection

Author:

Wang Shuliang,Gu Xifeng,Luan Shengyang,Zhao Mingwei

Publisher

Elsevier BV

Subject

Information Systems and Management,Computer Science Applications,Safety, Risk, Reliability and Quality,Modeling and Simulation

Reference74 articles.

1. Social values and material threat: the European Programme for Critical Infrastructure Protection;Burgess;Int. J. Crit. Infrastruct.,2007

2. Department of Homeland Security. National Infrastructure Protection Plan;United States,2006

3. Research on the robustness of interdependent networks under localized attack;Wang;Appl. Sci.,2017

4. Vulnerability of network of networks;Havlin;Eur. Phys. J.: Spec. Top.,2014

5. Analysis of major blackouts from 2003 to 2015: classification of incidents and review of main causes;Veloza;Electricity J.,2016

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2. Robustness evaluation method and defense strategy of electricity-heat integrated energy system;International Journal of Critical Infrastructure Protection;2024-09

3. Resilience measurement and analysis of intercity public transportation network;Transportation Research Part D: Transport and Environment;2024-06

4. GNN-based Criticality Analysis in Interconnected Infrastructure Networks;2024 IEEE Green Technologies Conference (GreenTech);2024-04-03

5. Machine learning applications in the resilience of interdependent critical infrastructure systems—A systematic literature review;International Journal of Critical Infrastructure Protection;2024-03
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