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Power information network intrusion detection based on data mining algorithm

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Abstract

Intrusion detection technology plays an important role in ensuring information security. This paper briefly describes the intrusion detection technology and its development history. Based on the analysis of power information network structure and its security partition, this paper proposes a power information network intrusion detection framework for the intrusion attack problem of power information network and elaborates the implementation of each module. The association rule analysis algorithm and the association relationship between network data stream features can effectively detect the intrusion behaviour in the power information network. Experiments show that the intrusion detection system can effectively detect the intrusion attacks in the power information network and effectively protect the power information.

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Acknowledgements

This work is supported by the project of Hebei Power Technology of state grid from 2018 to 2019: Research and application of real-time situation assessment and visualization technology for information security of power enterprises based on simulation environment (No. kj2018-047).

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Authors and Affiliations

  1. Electric Power Research Institute of State Grid Hebei Electric Power Supply Co., Ltd, Shijiazhuang, 050000, Hebei, China

    Xiaojun Zuo, Ze Chen, Limian Dong, Jie Chang & Botao Hou

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  1. Xiaojun Zuo
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  2. Ze Chen
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  3. Limian Dong
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Correspondence to Xiaojun Zuo.

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Zuo, X., Chen, Z., Dong, L. et al. Power information network intrusion detection based on data mining algorithm. J Supercomput 76, 5521–5539 (2020). https://doi.org/10.1007/s11227-019-02899-2

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  • DOI: https://doi.org/10.1007/s11227-019-02899-2

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