4.6 Article

Reliability analysis of CPS systems under different edge repairing strategies

出版社

ELSEVIER
DOI: 10.1016/j.physa.2019.121865

关键词

CPS systems; Percolation theory; Cascading failures; Edge-adding strategy

资金

  1. National Natural Science Foundation of China [61602418, 61672468]
  2. Zhejiang Provincial Natural Science Foundation of China [LQ16F020002]
  3. Social development project of Zhejiang provincial public technology research, China [2016C33168]
  4. MOE (Ministry of Education in China) Project of Humanity and Social Science [15YJCZH125]
  5. Opening Project of Shanghai Key Laboratory of Integrated Administration Technologies for Information Security, China [AGK2018001]

向作者/读者索取更多资源

Cyber-Physical Systems (CPS), such as smart grid is vulnerable to random failures or intentional attacks. The complex characteristics of these systems embed hidden vulnerabilities that threaten their functionality when attacked. In this paper, a reliability analysis model based on network science theory is introduced in interdependent CPS systems. We focus on understanding the structure of CPS systems and studying the underlying network model. Then we propose a rational model for interdependent CPS systems and calculate the number of the fraction of nodes which still can function after attacked. Besides, based on percolation theory, we also study the effect of cascading failures effect and reveal detailed mathematical analysis of failure propagation in such systems. Our simulation shows that high degree addition strategy has the best performance in improving and there is always have an intersection between low degree addition strategy and high degree addition strategy. Also we determine the critical values for different system parameters and then we could select different strategies under different attack ratios to get better reliability. In this way, the proposed reliability analysis model can be effectively utilized for anti-attack and protection purposes in CPS systems. (C) 2019 Elsevier B.V. All rights reserved.

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