摘要
为了提高计算机网络安全预警能力,提出基于网络行为的计算机网络安全预警与响应系统设计方法。采用最小均方误差估计方法,构建网络行为特征大数据分布模型。基于网络安全预警误差分量网络行为特征检测以及用户行为特征检测模式下网络安全预警的置信度水平,提高对网络入侵的动态检测和实时预警能力。仿真结果表明,采用该方法进行计算机网络安全预警的响应能力较强,对网络入侵的准确检测性能较好,提高了计算机网络安全预警与响应能力,确保了网络安全。
In order to improve the ability of computer network security early warning,a computer network security early warning and response system design method based on network behavior is proposed.Using the least mean square error estimation method,a large data distribution model of network behavior characteristics is constructed.Based on the network security early warning error component network behavior feature detection,the confidence level of network security early warning under the user behavior feature detection mode can improve the dynamic detection and real-time early warning ability of network intrusion.The simulation results show that the method is strong in the computer network security early warning,and the accurate detection performance of the network intrusion is better,the early warning and response capability of the computer network security is improved,and the network security is ensured.
作者
苏醒
Su Xing(Dezhou Vocational and Technical College,Dezhou 253034,China)
出处
《电子测量技术》
2019年第21期123-126,共4页
Electronic Measurement Technology
关键词
网络行为
计算机网络
安全预警
响应系统
network behavior
computer network
safety early warning
response system
