基于云计算的网络安全态势感知技术研究

Research on Network Security Situational Awareness Technology Based on Cloud Computing

为提高混合结构化网络的安全性,提出基于云计算的网络安全态势感知方法.首先构建混合结构化网络安全信息检测结构模型,通过信息挖掘进行安全态势信息辨识,结合边缘点的距离和自变量分析过程构建网络安全信息采样模型.然后通过空间节点分布进行贝叶斯网络学习,实现混合结构化网络安全态势信息融合.基于此,通过构建网络安全感知的空间特征分类集提取态势感知信息特征,再采用云计算技术及协同滤波技术进行混合结构化网络安全态势信息的优化解析处理,从而实现混合结构化网络安全态势信息感知.仿真结果表明:该方法对网络安全态势感知的准确性较高,提高了混合结构化网络的安全性和稳定性.

In order to improve the security of hybrid structured network,a network security situation awareness method based on cloud computing is proposed.Firstly,the structure model of hybrid structured network security information detection is constructed,and the security situation information is identified by information mining,and the network security information sampling model is constructed by combining the distance of edge points and independent variable analysis process.Then,Bayesian network learning is carried out through spatial node distribution to realize hybrid structured network security situation information fusion.Based on this,the spatial feature classification set of network security awareness is constructed to extract the information features of situation awareness,and the cloud computing technology and collaborative filtering technology are used to optimize the analysis and processing of the hybrid structured network security situation information,so as to realize the hybrid structured network security situation information awareness.The simulation results show that the method has a high accuracy for network security situation awareness,and improves the security and stability of hybrid structured network.