A Quantitative Prediction Method of Network Security Situation Based on Wavelet Neural Network

In order to predict the network security situation, a quantitative prediction method of network security situation based on wavelet neural network (WNN) was proposed. After analyzing the past and the current network security situation in detail, we built the WNN architecture of network security situation prediction and adopted it to forecast the non-linear time series of network security situation. Simulation experiments proved that the proposed method had advantages over a back propagation neural network method (BPNN) with the same architecture in the convergence speed, functional approximation and prediction accuracy.