基于数据挖掘的智能电网安全漏洞挖掘模型

Research and design of security vulnerability mining model of smart grid based on data mining technology

结合数据对智能电网安全漏洞进行准确识别,可以有针对性的进行防御,提高智能电网的安全性。当前的漏洞检测方法存在误差大、效率低、误报率和漏报率大、容易受到外界环境干扰等问题。提出了一种基于数据挖掘技术的智能电网安全漏洞挖掘模型,定义了漏洞数据特征的相关参数,对智能电网运行数据和历史数据进行属性划分,依据上述相关参数构建一定的关联规则,将漏洞辨识矩阵和数据关联规则进行结合,建立智能电网安全漏洞挖掘模型,完成智能电网安全漏洞挖掘。实验结果表明,与传统的权限行为分析方法相比,该方法进行安全漏洞挖掘准确、误报率和漏报率较小、实用性强。

The accurate tap of smart grid security vulnerabilities can be targeted for defense and improve the security of smart grid.The traditional vulnerability detect methods exist large error,low efficiency,large false positive rate and false negative rate,environmental interference and other issues.The smart grid security vulnerabilities mining model was proposed based on data mining technology.The parameters related to vulnerability data were defined.The attribute partition for operation data and historical data of smart grid was conducted.Certain association rules were constructed on the basis of the relevant parameters.The vulnerability identification matrix was combined with data association rules.The smart grid security vulnerabilities mining model was built to complete the smart grid security vulnerabilities mining.The experimental results show that compared with the traditional authority behavior analysis method,the new method has the advantages of accurate security vulnerabilities mining,small false positive rate and false negative rate and strong practicability.