Abstract:

Traditional combat network models struggle to reflect interaction dynamics between combat parties and often neglect practical node deletion strategies. Additionally, system capability quantification often relies excessively on the number of kill chains. To address these issues, this paper proposes a system combat capability analysis method based on an interactive adversarial network model. The paper establishes a red-blue interactive network model that incorporates both combat nodes into the network model, and suggests updating both nodes through a reachable node deletion strategy. It introduces the concepts of kill chain capability and system kill chain capability, and quantifies the system combat capability based on the scale of destruction. To account for the complexity of calculating two-terminal connectivity in unequal probability networks, this paper uses Monte Carlo simulation to solve the system kill chain capability. Simulation experiments analyze key variables affecting the system combat capability and validate the analysis with other methods. The results show that the enhancement of the functional capability of the accusation node is the core key of the combat system, which plays an important role in the non-linear enhancement of the combat destruction capability of the own system and the non-linear suppression of the enemy system, and the simulation comparison experiments verify the superiority of the method in this paper.

Key words: system combat capability, combat interaction network, kill chain, network connectivity