基于贝叶斯网络数学模型的无线网络安全风险检测方法

Wireless Network Security Risk Detection Method Based on Bayesian Network Mathematical Model

无线网络安全风险检测方法使用通用漏洞评分系统(Common Vulnerability Scoring System,CVSS)标度,确定网络潜在漏洞风险源,易受漏洞逻辑关系限制,导致网络安全风险检测性能较差。因此,提出基于贝叶斯网络数学模型的无线网络安全风险检测方法。以贝叶斯分类器为核心,构建网络安全风险检测贝叶斯网络数学模型,设计无线网络安全风险检测算法,实现无线网络安全风险检测。实验结果表明,利用该方法可以检测不同的安全风险漏洞。

Wireless network security risk detection method uses the Common Vulnerability Scoring System(CVSS) scale to identify potential network vulnerability risk sources,which are easily restricted by vulnerability logic relations,resulting in poor network security risk detection performance.This paper presents a wireless network security risk detection method based on Bayesian network mathematical model.With Bayes classifier as the core,a Bayesian network mathematical model for network security risk detection is constructed,and wireless network security risk detection algorithm is designed to realize wireless network security risk detection.The experimental results indicate that this method can detect different security risk vulnerabilities.