Analysis of Network Security Situation Based on Principal Component Analysis and Phase Space Reconstruction

摘要

In order to improve the accuracy of network potential hazard trend estimation, a method of network potential hazard estimation based on the combination of grey relational analysis (GRA) and improved support vector machine (SVM) is proposed. At first, determine evaluation index weight by GRA, then optimize SVM parameter by particle swarm optimization (PSO) to establish network potential hazard trend estimation model, and finally, test the model's effectiveness by simulation experiment.