Research on the attack strategy to reduce network effectiveness based on weighted topological separation ratio

Xing Li; Yalin Fang; Mengbo Zhang; Yingke Lei

doi:10.1117/12.2615271

15 October 2021 Research on the attack strategy to reduce network effectiveness based on weighted topological separation ratio

Xing Li, Yalin Fang, Mengbo Zhang, Yingke Lei

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Proceedings Volume 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering; 119330V (2021) https://doi.org/10.1117/12.2615271
Event: 2021 International Conference on Neural Networks, Information and Communication Engineering, 2021, Qingdao, China

Abstract

How to use the limited attack resources to attack the battlefield communication network is an essential problem in network countermeasure. This paper proposed the concept of weighted separation Ratio (WSR) of the network topology and corresponding optimal attack strategy based on WSR was examined. Firstly, the equivalent weighted topological model of the network is established, and the concept of WSR is proposed to describe the degree of network separation. And then, considering the attack cost, the optimization mathematical model of network attack strategy is developed. Finally, the correctness and effectiveness of the method are verified by theoretical proof and example analysis.

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Xing Li, Yalin Fang, Mengbo Zhang, and Yingke Lei "Research on the attack strategy to reduce network effectiveness based on weighted topological separation ratio", Proc. SPIE 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering, 119330V (15 October 2021); https://doi.org/10.1117/12.2615271

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KEYWORDS

Mathematical modeling

Chlorine

Optimization (mathematics)

Strontium

Defense technologies

Failure analysis

Lithium

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