Research on Kill Chain Analysis Method Based on Template-Bayesian Network

As the whole process of attacking the enemy, kill chain plays an important role in system warfare of modern war. Starting with situation assessment, in order to solve the problems of strong data dependence, poor real-time performance and accuracy of Bayesian network situation assessment method based on template matching, this paper proposes a strike chain analysis method based on template Bayesian network. This method uses the template matching reasoning results to modify the Bayesian reasoning results, and uses the Bayesian network reasoning results to compensate the composite events in the template. It has excellent performance in real-time and accuracy.