基于数据挖掘的电力信息系统网络安全态势评估

Network security situation assessment of power information system based on data mining

为了解决当前电力信息系统网络安全态势评估建模过程存在的一些难题,提出基于数据挖掘的电力信息系统网络安全态势评估模型。对电力信息系统网络安全态势评估现状进行分析,构建电力信息系统网络安全态势评估指标体系;采用灰色关分析法确定电力信息系统网络安全态势评估指标体系的权重值,并采用数据挖掘技术-支持向量机建立电力信息系统网络安全态势评估模型;进行了电力信息系统网络安全态势评估仿真测试。结果表明,文中模型可以描述电力信息系统网络安全态势,获得了高精度的电力信息系统网络安全态势评估结果,而且电力信息系统网络安全态势评估综合性能要优于其它模型,具有更高的实际应用价值。

In order to solve the problems existing in the modeling process of the network security situation assessment in current power information system,a network security situation assessment model of power information system based on data mining is proposed in this paper.Firstly,the status of network security situation assessment of power information system is analyzed,and the network security situation evaluation index system of power information system is constructed.Then,the weight value of the network security situation evaluation index system of power information system is determined by the grey relational analysis method,and the data mining technology support vector machine is used to establish the network security situation assessment model of power information system.Finally,the network security situation assessment simulation test of the power information system is carried out.The results show that the model can describe the security situation of the power information system network,and obtain the high precision results of the security situation assessment of the power information system network,and the comprehensive performance of the security situation assessment of the power information system network is superior to the other models,and has a higher practical application value.