Research on structural robustness of weapon system-of-systems based on heterogeneous network

ZHAO Danling, TAN Yuejin, LI Jichao, DOU Yajie, LI Lianchun, LIU Junyi

Systems Engineering - Theory & Practice ›› 2019, Vol. 39 ›› Issue (12) : 3197-3207.

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Systems Engineering - Theory & Practice ›› 2019, Vol. 39 ›› Issue (12) : 3197-3207. DOI: 10.12011/1000-6788-2018-1302-11

Research on structural robustness of weapon system-of-systems based on heterogeneous network

  • ZHAO Danling1, TAN Yuejin1, LI Jichao1, DOU Yajie1, LI Lianchun2, LIU Junyi2
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Abstract

Considering the complexity and heterogeneity of weapon nodes in the weapon system of systems, and the diversity of the relationship between equipments, this paper first proposes a modeling method based on heterogeneous networks. Next, by referring to the concept of observe-orient-decide-act (OODA) combat cycle theory and combining the definition of meta-path in heterogeneous networks, the number of attack link is used to evaluate the structural robustness of the weapon system of systems. Then, we do the experiments on structural robustness of weapon system-of-systems under random attack and selective attack strategy using the traditional natural connectivity index and the number of attack link. It is found that the number of attack link with actual semantic information is more effective to evaluate the structural robustness of weapon system of systems. Finally, the invulnerability of the weapon system of systems under certain background is analyzed, which provides assistant decision-making for the attacker's primary attack target and the defender's primary protection object.

Key words

weapon system-of-systems / heterogeneous network / structural robustness / number of attack link / natural connectivity

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ZHAO Danling , TAN Yuejin , LI Jichao , DOU Yajie , LI Lianchun , LIU Junyi. Research on structural robustness of weapon system-of-systems based on heterogeneous network. Systems Engineering - Theory & Practice, 2019, 39(12): 3197-3207 https://doi.org/10.12011/1000-6788-2018-1302-11

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Funding

National Natural Science Foundation of China (71571185, 71690233, 71901214)
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