Office System Network Security Detection Based on Improved GA-Bayes Model
In order to ensure the network security of office system and avoid the important data being sto-len or tampered with,a network security detection model based on improved GA-Bayes is designed.Firstly,the network index system of office system is selected by DEMATEL method,and the traditional tabu search method is replaced by genetic algorithm to synchronize the learning function of Bayesian network structure.Based on the evaluation index,the posterior probability corresponding to each network security grade category is deduced by GA-Bayes improved model,and the grade corresponding to the maximum posterior probability is selected as the final detection result.The results show that the network security level in time period 1 is high,and time period 2 is the same as that of time period 1.The network security level in time period 3 is low.Time period 4 is normal.In time period 5,the network security level is high,which proves that the application effect and detection accuracy of the proposed model is better than that of the traditional method.
万方数据
维普
