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Evaluation of vulnerability of MAV/UAV collaborative combat network based on complex network

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  • Yang, Shulan
  • Hou, Zhiwei
  • Chen, Hongbo

Abstract

In recent years, the Manned/Unmanned Aerial Vehicle (MAV/UAV) collaborative combat mode has become an important mode. Therefore, it is important to assess the vulnerability of Manned/Unmanned Aerial Vehicle Collaborative Combat Networks (MUCNs). In this paper, we analyze the meaning of nodes and edges of MUCNs, propose five vulnerability indicators, and construct a vulnerability indicator system of MUCNs. In addition, the network contribution method is proposed to aggregate the vulnerability indicators of MUCNs. Finally, through simulation, the effectiveness of the network contribution method is demonstrated by comparing and analyzing with three commonly used indicator aggregation methods. This paper can provide a reference for designing MUCNs with lower vulnerability and a vulnerability evaluation method for the development of MAV/UAV collaborative combat strategies.

Suggested Citation

  • Yang, Shulan & Hou, Zhiwei & Chen, Hongbo, 2023. "Evaluation of vulnerability of MAV/UAV collaborative combat network based on complex network," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    • Handle: RePEc:eee:chsofr:v:172:y:2023:i:c:s0960077923004010
    DOI: 10.1016/j.chaos.2023.113500
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    References listed on IDEAS

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    1. Bellingeri, Michele & Cassi, Davide & Vincenzi, Simone, 2014. "Efficiency of attack strategies on complex model and real-world networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 174-180.
    2. Aming Li & Lei Zhou & Qi Su & Sean P. Cornelius & Yang-Yu Liu & Long Wang & Simon A. Levin, 2020. "Evolution of cooperation on temporal networks," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    3. Réka Albert & Hawoong Jeong & Albert-László Barabási, 2000. "Error and attack tolerance of complex networks," Nature, Nature, vol. 406(6794), pages 378-382, July.
    4. Jichao Li & Yuejin Tan & Kewei Yang & Xiaoke Zhang & Bingfeng Ge, 2017. "Structural robustness of combat networks of weapon system-of-systems based on the operation loop," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(3), pages 659-674, February.
    5. Li, Zhaoxing & Chen, Li, 2019. "Robustness of multipartite networks in face of random node failure," Chaos, Solitons & Fractals, Elsevier, vol. 121(C), pages 149-159.
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    Cited by:

    1. Liu, Tao & Bai, Guanghan & Tao, Junyong & Zhang, Yun-An & Fang, Yining, 2024. "A Multistate Network Approach for Resilience Analysis of UAV Swarm considering Information Exchange Capacity," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    2. Huang, Chaochao & Wang, Chaoqian, 2024. "Memory-based involution dilemma on square lattices," Chaos, Solitons & Fractals, Elsevier, vol. 178(C).

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