系统工程与电子技术 ›› 2023, Vol. 45 ›› Issue (6): 1732-1742.doi: 10.12305/j.issn.1001-506X.2023.06.17

• 系统工程 • 上一篇    

基于杀伤网贡献率的动态体系节点重要度评估

秦长江1,2, 吴克宇1,*, 成清1, 黄金才1   

  1. 1. 国防科技大学系统工程学院, 湖南 长沙 410073
    2. 国防科技大学军政基础教育学院, 湖南 长沙 410073
  • 收稿日期:2022-01-13 出版日期:2023-05-25 发布日期:2023-06-01
  • 通讯作者: 吴克宇
  • 作者简介:秦长江(1982—), 男, 讲师, 博士研究生, 主要研究方向为复杂网络、作战体系构建与分析
    吴克宇(1990—), 男, 讲师, 博士, 主要研究方向为智能决策技术
    成清(1986—), 男, 副教授, 博士, 主要研究方向为大数据、人工智能
    黄金才(1973—), 男, 研究员, 博士研究生导师, 博士, 主要研究方向为指挥控制、人工智能

Node importance evaluation in dynamic system based on kill-web contribution rate

Changjiang QIN1,2, Keyu WU1,*, Qing CHENG1, Jincai HUANG1   

  1. 1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
    2. Undergraduate School, National University of Defense Technology, Changsha 410073, China
  • Received:2022-01-13 Online:2023-05-25 Published:2023-06-01
  • Contact: Keyu WU

摘要:

针对当前作战体系节点重要度评估存在的节点功能异质性及多样性刻画、体系模型动态性构建、体系作战能力计算等研究不够充分的问题, 建立了面向动态作战体系的杀伤网能力模型, 提出了杀伤网能力动态计算模型方法和搜索算法。考虑杀伤链的数量和质量, 提出了杀伤网能力指数和基于杀伤网能力指数贡献率的节点重要度评估模型。在仿真模拟实验中, 对比了不同时空状态下, 按杀伤网能力指数、度中心性等7种攻击方式对网络进行打击后的杀伤网能力指数的下降程度。仿真结果显示,所提方法明显优于其他基准方法, 验证了所提算法的合理性。

关键词: 杀伤网, 贡献率, 动态体系, 节点重要度评估

Abstract:

Aiming at the insufficient research on the characterization of node functional heterogeneity and diversity, the dynamic construction of system models, and the calculation of system operational capability in the evaluation of node importance in current combat systems, a kill-web capability model for dynamic combat system is established, and a dynamic calculation model method and search algorithm for kill-web capability are proposed. Considering the quantity and quality of the kill chain, a kil-web capability index (KWCI) and a node importance evaluation model based on the contribution rate of the KWCI are proposed. In the simulation experiment, the degree of decline of the KWCI after the attacking of network by seven attack methods, such as the KWCI and the degree centrality, is compared under different space-time conditions. The simulation results show that the proposed method is significantly superior to other benchmark methods, verifying the rationality of the proposed algorithm.

Key words: kill-web, contribution rate, dynamic system, node importance evaluation

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