Research on the network security equipment allocation problem based on Monte Carlo tree search and machine learning

摘要

In this paper, research on the allocation of network security equipment is carried out thoroughly. We model the network security equipment with structured language. Based on this, in order to solve the equipment allocation problem, we combine Monte Carlo tree search with machine learning algorithm to design specific solutions for the problem. Furthermore, in the process of the model of this problem, we also implement the representation for specific knowledge, establishing the state space for the problem and designing for knowledge solving algorithm. The results indicate that the proposed scheme significantly improves the speed and accuracy of equipment allocation.