Reliability analysis of interdependent hypergraph network under different attack strategies

Author:

Peng Hao12,Xie Ziyi1,Zhao Dandan1,Zhong Ming1,Han Jianmin1,Wang Wei3

Affiliation:

1. College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua 321004 Zhejiang, P. R. China

2. Key Laboratory of Intelligent Education, Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua 321004 Zhejiang, P. R. China

3. School of Public Health, Chongqing Medical University, Chongqing 400016, P. R. China

Abstract

Nodes usually cooperate to form groups and survive or fail in real-world systems. Researchers typically consider the interdependence between node groups in studying the interdependent network. This paper studies the robustness of interdependent hypergraph networks under different attack strategies. According to the characteristics of the network model, we propose a series of target attack strategies and compare the destructive effect of these strategies on the network. Second, we analyze the impact of the random edge removal strategy on the robustness of hypergraph networks under different edge removal ratios. Finally, we propose four target-node edge removal strategies and compare their destructive effects on the network at the same edge removal ratios. Simulation results show that target attack and edge removal strategies can appreciably reduce the robustness of interdependent hypergraph networks and accelerate the networks’ collapse.

Funder

National Natural Science Foundation of China

Opening Project of Shanghai Key Laboratory of Integrated Administration Technologies for Information Security

Natural Science Foundation of Chongqing

Publisher

World Scientific Pub Co Pte Ltd

Subject

Computational Theory and Mathematics,Computer Science Applications,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Percolation transitions in partially edge-coupled interdependent networks with different group size distributions;International Journal of Modern Physics C;2024-05-18

2. Robustness of interdependent hypergraphs: A bipartite network framework;Physical Review Research;2024-01-12

3. Research on Clustering Detection Method for Security Attack Behaviors Based on Air Traffic Control Network;2023 IEEE International Conference on E-health Networking, Application & Services (Healthcom);2023-12-15

4. Higher-order interdependent percolation on hypergraphs;Chaos, Solitons & Fractals;2023-12

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