Network Security Situation Element Extraction Based on Projection Pursuit Regression

Situation element extraction is a significant step of network security situation awareness. This paper presents a network security situation element extraction model based on projection pursuit regression. A nonlinear optimization problem is proposed in the model, in which the projection direction and the polynomial coefficients are optimization variables, and projective index function is target function. Due to the high precision and fast convergence speed, the particle swarm optimization is introduced to solve the optimization problem. The simulation experimental results show that this model is efficient.