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International Conference on Computer Engineering and Networks

CENet2018 2018: The 8th International Conference on Computer Engineering and Networks (CENet2018) pp 894–903Cite as

A Power Network Illegal Access Monitoring Method Based on Random Forests

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 905))

Abstract

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.

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Acknowledgement

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).

Author information

Authors and Affiliations

  1. CSG Power Dispatching Control Center, Guangzhou, 510670, China

    Wenzhe Zhang, Wenwei Tao, Song Liu & Yang Su

  2. Dingxin Information Technology Co., Ltd., Guangzhou, 510627, China

    Zhaohui Hu

  3. NARI Information and Communication Technology Co., Ltd., Nanjing, 210033, China

    Chao Hu

Authors
  1. Wenzhe Zhang
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  2. Wenwei Tao
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  3. Song Liu
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  4. Yang Su
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  5. Zhaohui Hu
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  6. Chao Hu
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Corresponding author

Correspondence to Wenzhe Zhang .

Editor information

Editors and Affiliations

  1. School of Computing, Edinburgh Napier University, Edinburgh, UK

    Qi Liu

  2. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Mustafa Mısır

  3. School of Computer, Fudan University, Shanghai, China

    Xin Wang

  4. College of Information Science and Technology/College of Cyber Security, Jinan University, Guangzhou, China

    Weiping Liu

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Zhang, W., Tao, W., Liu, S., Su, Y., Hu, Z., Hu, C. (2020). A Power Network Illegal Access Monitoring Method Based on Random Forests. In: Liu, Q., Mısır, M., Wang, X., Liu, W. (eds) The 8th International Conference on Computer Engineering and Networks (CENet2018). CENet2018 2018. Advances in Intelligent Systems and Computing, vol 905. Springer, Cham. https://doi.org/10.1007/978-3-030-14680-1_97

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