Resilience enhancement and evaluation methods for space-air integrated intelligent network command and control system

As a core information infrastructure for future all-domain coverage and intelligent collaboration, the space-air integrated intelligent network faces multiple challenges in complex environments. To address the resilience enhancement and evaluation issues of the space-air integrated intelligent network command and control system, a system model incorporating space-based and air-based networks is first constructed. On this basis, a phased resilience enhancement framework is proposed, which divides the resilience enhancement process into four stages: resistance, absorption, recovery, and reconstruction. Systematic reviews of corresponding resilience enhancement methods for each stage are conducted. Furthermore, a resilience evaluation index system for the space-air integrated intelligent network command and control system is established, and a combination method of analytic hierarchy process and adaptive weight particle swarm optimization is proposed, which can achieve scenario-based adaptive weighting. Starting from four resilience dimensions-resistance capability, absorption capability, recovery capability, and reconstruction capability-the overall resilience evaluation results of the system are derived. Simulation tests are also designed to assess the resilience of the space-air integrated intelligent network command and control system.