Research on Network Dynamic Security Policy Model Based on Neural Network

As the network is more and more important in people's life, network security has become very important. In the face of a large number of network attacks, we need a network security defense decision support technology, which can quickly and accurately complete the judgment of network defense in a tense environment. Current researchers focus on the improvement and promotion of dynamic defense technology in the field of network security dynamic defense, and fail to consider how to maximize the role of "changing the rules" in the defense system from the overall perspective. Therefore, this paper establishes a dynamic and static fusion of network security defense system, sets the evaluation index, puts forward the construction method of network defense decision-making model, and uses DDoS attack as an example to simulate, show the specific evaluation decision-making process. The simulation results show that the model can accurately assist people to make network defense decisions, and provide a new layer of protection for network security defense.