电力信息网络中差异化入侵数据挖掘方法研究

Data Mining Method for Electric Power Information Network Differentiated Intrusion

提出基于改进支持向量机算法的电力网络入侵数据挖掘方法。针对电力网络系统中待检测网络或系统采集相关数据,进行数据归一化处理,为入侵数据挖掘模型的建立提供数据支持,建立数据挖掘模型,在传统的支持向量机分类面的基础上,引入双超球隶属度函数对挖掘模型进行求解,获取入侵数据挖掘的最优方案。实验结果表明,利用改进算法对电力信息网络进行差异化入侵数据的挖掘,保证电力网络的安全。

This paper proposes the power network intrusion data mining method based on improved support vector machine( SVM) algorithm. Collect relevant data for the network or system to be detected in the power network system;conduct data normalization processing; provide data support for the invasion data mining model; build up data mining model; introduce the double super ball membership functions to solve mining model based on the traditional SVM classification; acquire the optimal solution to invasion data mining. The experimental results show that the improved algorithm is used for the power information network differentiated invasion data mining,ensuring the safety of electric power network.