脆弱性(计算)
计算机科学
脆弱性评估
构造(python库)
计算机安全
计算机网络
心理学
心理弹性
心理治疗师
作者
Shulan Yang,Zhiwei Hou,Hongbo Chen
标识
DOI:10.1016/j.chaos.2023.113500
摘要
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.
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