基于贝叶斯网络的通信网络信息安全过滤方法

Security Filtering Method of Communication Network Information Based on Bayesian Network

由于传统方法在通信网络信息安全过滤中应用效果不佳,无法达到预期的过滤效果,提出基于贝叶斯网络的通信网络信息安全过滤方法。首先建立信息分类准则和对话机制,根据通信网络信息流向属性确定信息位置,其次定向接收流向指定位置的通信网络信息,解析网络信息,提取网络信息特征,最后利用贝叶斯网络分类网络信息,完成基于贝叶斯网络的通信网络信息安全过滤。经实验证明,采用改进方法过滤未被成功过滤的垃圾网络信息,可将未被成功过滤垃圾信息比例控制在1%以内,信息过滤速率为1674.26B/s,说明设计方法在通信网络信息安全过滤方面具有良好的应用前景。

Due to the poor application effect of traditional methods in the information security filtering of communication network,the expected filtering effect cannot be achieved.A communication network information security filtering method based on Bayesian network is proposed.Establish information classification criteria and dialogue mechanism,determine the information location according to the information flow direction attribute of the communication network,directionally receive the communication network information flowing to the specified location,analyze and process the network information,extract the network information characteristics,use Bayesian network to classify the network information,and complete the communication network information security filtering based on Bayesian network.Through experiments,it has been proven that using improved methods to filter unsuccessfully filtered junk network information can control the proportion within 1%,and the information filtering rate is 1674.26 B/s.It has good application prospects in communication network information security filtering.