电源技术2018，Vol.42Issue(4)：593-596,4.
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
牛文楠 1鲍鹏飞 1唐会东 1邓琨 2魏恩伟2
作者信息
- 1. 深圳供电局有限公司,广东深圳518048
- 2. 深圳市康拓普信息技术有限公司,广东深圳518034
- 折叠
摘要
Abstract
The accurate tap of smart grid security vulnerabilities can be targeted for defense and improve the secudty 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.关键词
数据挖掘/智能电网/安全漏洞/辨识矩阵/关联规则Key words
data mining/smart grid/security vulnerability/identification matrix/association rule分类
信息技术与安全科学引用本文复制引用
牛文楠,鲍鹏飞,唐会东,邓琨,魏恩伟..基于数据挖掘的智能电网安全漏洞挖掘模型[J].电源技术,2018,42(4):593-596,4.
