Research on Disintegration of Combat Networks under Incomplete Information

A weapon system-of-systems in integrated joint operations under the condition of information can be abstracted as a heterogeneous combat network(HCN). In the complicated battlefield environment, the enemy information obtained by our side lacks completeness and with great uncertainty. To solve the problem, this paper puts forward a framework for the disintegration of enemy combat networks under incomplete information. First, a weapon system of systems is modeled as a HCN by abstracting diversified systems and information flows into multiple types of nodes and edges. Next, the HCN is reconstructed with the link prediction method based on representation learning. Then, based on the conception of killing chain, a new index is proposed to evaluate the effect of disintegration considering the capability attribute of weapons and its attack cost. Last, a real-world HCN is taken as a case study and extensive experiments are conducted to demonstrate the feasibility and effectiveness of the proposed framework. The results show that the framework proposed in this paper can provide decision-making support for battlefield command under incomplete information.