The Security Evaluation of Big Data Research for Smart Grid

被引：0
|
作者：
Li, Zhifcng [1 ]
Li, Yintao [1 ]
Lin, Peng [2 ]
机构：
[1] State Grid Jibei Elect Power Co, Tangshan Power Supply Co, Tangshan, Peoples R China
[2] Beijing Vectinfo Technol Co Ltd, Beijing, Peoples R China
来源：
2019 15TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC) | 2019年
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The technological development of the energy sector also produced complex data. In this study, the relationship between smart grid and big data approaches have been investigated. After analyzing which areas of the smart grid system use big data technologies and technologies, big data technologies for detecting smart grid attacks have received attention. Big data analytics can produce efficient solutions and it is especially important to choose which algorithms and metrics to use. For this reason, an application prototype has been proposed that uses a big data method to detect attacks on the smart grid. The algorithm with high accuracy was determined to be 92% for random forests and 87% for decision trees.
引用
收藏
页码：1055 / 1059
页数：5
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