Prediction Method for Network Security Situation Based on Elman Neural Network
基于Elman神经网络的网络安全态势预测方法

Grasping the security situation of network system accurately, which can provide effective information, helps network managers to make security decisions. Based on the assessment of current network security situation, using the feature of nonlinear and time series, this paper presented a method of networks security situation prediction, based on Elman neural network, with the advantages of dynamic memory of Elman network and sensitivity of historical data, etc,to predict the network security situation. Finally, experiment shows that networks security situation can be effectively and accurately predicted with this method.