基于改进GA-Bayes模型的办公系统网络安全检测

Office System Network Security Detection Based on Improved GA-Bayes Model

为保证办公系统网络安全,避免重要资料被窃取或篡改,设计了一种基于改进GA-Bayes网络安全检测模型.先借助DEMATEL法选取办公系统网络指标体系,再利用遗传算法取代传统禁忌搜索方法,同步融合贝叶斯网络结构的学习功能.以评估指标为基础,通过GA-Bayes改进模型推理得出每一个网络安全等级类别对应的后验概率,选取后验概率最大值对应的等级作为最终的检测结果.结果表明:时间段1网络安全等级高,时间段2与时间段1相同,时间段3网络安全等级低,时间段4网络安全等级一般,时间段5网络安全等级高,证明提出模型的杰卡德系数应用效果和检测准确性要优于传统方法.

In order to ensure the network security of office system and avoid the important data being stolen 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.