• 安全技术 •

### 基于word2vec的配电网恶意控制指令检测算法

1. 1.国网福建省电力有限公司,福州 350003; 2.浙江大学 电气工程学院,杭州 310027
• 收稿日期:2017-12-13 出版日期:2019-04-15 发布日期:2019-04-15
• 作者简介:郑佩祥(1970—),男,高级工程师,主研方向为智能配电网安全;陈彬,高级工程师;卢昕,硕士研究生;徐文渊,教授、博士。
• 基金项目:

国家高技术研究发展计划(2015AA050202);国家电网公司科技项目(52130415000P)。

### Malicious Control Command Detection Algorithm in Power Distribution Network Based on word2vec

ZHENG Peixiang1,CHEN Bin1,LU Xin2,XU Wenyuan2

1. 1.State Grid Fujian Electric Power Company,Fuzhou 350003,China; 2.College of Electrical Engineering,Zhejiang University,Hangzhou 310027,China
• Received:2017-12-13 Online:2019-04-15 Published:2019-04-15

Abstract:

The existing detection method of malicious control command of distribution network is based on the operating rules of power system,but the rules are difficult to maintain and the rule matching takes a long time.According to the context consistency relationship between the uplink measurement information of the distribution network and the downlink control instructions,a malicious control detection algorithm based on word2vec is proposed.Simulating various working conditions on the power distribution network simulation platform and obtaining the labeled data set,the results show that the algorithm can achieve 100% accuracy and 87.2% recall rate,and has high detection accuracy.