基于大数据分析的计算机网络信息安全监测

Computer Network Information Security Monitoring Based on Big Data Analysis

为及时发现计算机网络安全威胁,研究基于大数据分析的计算机网络信息安全监测方法。通过WinPcap技术捕获计算机网络中的数据包,利用基于大数据分析的聚类方法提取网络异常信息特征,并输入支持向量机(Support Vector Machine,SVM)异常检测模型,实现计算机网络信息安全监测。实验验证,该方法可精准监测网络中的攻击数据。

In order to discover the computer network security threat in time,the method of computer network information security monitoring based on big data analysis is studied.The data packets in computer network are captured by WinPcap technology,the characteristics of abnormal information are extracted by clustering method based on big data analysis,and the Support Vector Machine(SVM)anomaly detection model is input to realize the information security monitoring of computer network.Experimental results show that this method can accurately detect the attack data in the network.