A Power Network Illegal Access Monitoring Method Based on Random Forests

  • Wenzhe ZhangEmail author
  • Wenwei Tao
  • Song Liu
  • Yang Su
  • Zhaohui Hu
  • Chao Hu
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 905)


With the development of network technology, people have begun to pay more and more attention to the impact of illegal access on the power network, and have tried to take measures to monitor whether the power network is illegally accessed. People try to use machine learning to monitor the power network. Because of the high classification accuracy and high efficiency of the random forest algorithm, we proposed a random forest-based power network monitoring algorithm. Comparison experiments with other algorithms have proved that our algorithm is more superior both in terms of time consumption and accuracy.


Network illegal access Power network monitoring Random forests 



This work is supported by Science and Technology Project of China Southern Power Grid Co., Ltd. “Research and Demonstration of Key Technologies of Network Security Situational Awareness in Power Monitoring System” (No. ZDKJXM20170002).


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Wenzhe Zhang
    • 1
    Email author
  • Wenwei Tao
    • 1
  • Song Liu
    • 1
  • Yang Su
    • 1
  • Zhaohui Hu
    • 2
  • Chao Hu
    • 3
  1. 1.CSG Power Dispatching Control CenterGuangzhouChina
  2. 2.Dingxin Information Technology Co., Ltd.GuangzhouChina
  3. 3.NARI Information and Communication Technology Co., Ltd.NanjingChina

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