Network Security Situation Prediction Model Based on HHGA-RBF Neural Network

To address the prediction problem in the Network Security Situational Awareness,the RBF neural network method was proposed to predict the situation value.In order to improve the prediction accuracy of RBF neural network,the HHGA was used for training to acquire the neural network parameters.Experimental results show the validity of this prediction method,and the accuracy of the proposed algorithm was verified by comparative experiment with the exi-sting forecasting methods.