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A New Intrusion Detection Algorithm AE-3WD for Industrial Control Network

Yongzhong Li1,2,*, Cong Li1, Yuheng Li3, Shipeng Zhang2

1 School of Computer Science and Engineering, Taizhou Institute of Sci. and Tec. NJUST, Taizhou, 225300, China
2 School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang, 212003, China
3 Suzhou Institute of Technology, Jiangsu University of Science and Technology, Suzhou, 215600, China

* Corresponding Author: Yongzhong Li. Email: email

Journal of New Media 2022, 4(4), 205-217.


In this paper, we propose a intrusion detection algorithm based on auto-encoder and three-way decisions (AE-3WD) for industrial control networks, aiming at the security problem of industrial control network. The ideology of deep learning is similar to the idea of intrusion detection. Deep learning is a kind of intelligent algorithm and has the ability of automatically learning. It uses self-learning to enhance the experience and dynamic classification capabilities. We use deep learning to improve the intrusion detection rate and reduce the false alarm rate through learning, a denoising AutoEncoder and three-way decisions intrusion detection method AE-3WD is proposed to improve intrusion detection accuracy. In the processing, deep learning AutoEncoder is used to extract the features of high-dimensional data by combining the coefficient penalty and reconstruction loss function of the encode layer during the training mode. A multi-feature space can be constructed by multiple feature extractions from AutoEncoder, and then a decision for intrusion behavior or normal behavior is made by three-way decisions. NSL-KDD data sets are used to the experiments. The experiment results prove that our proposed method can extract meaningful features and effectively improve the performance of intrusion detection.


Cite This Article

APA Style
Li, Y., Li, C., Li, Y., Zhang, S. (2022). A new intrusion detection algorithm AE-3WD for industrial control network. Journal of New Media, 4(4), 205-217.
Vancouver Style
Li Y, Li C, Li Y, Zhang S. A new intrusion detection algorithm AE-3WD for industrial control network. J New Media . 2022;4(4):205-217
IEEE Style
Y. Li, C. Li, Y. Li, and S. Zhang "A New Intrusion Detection Algorithm AE-3WD for Industrial Control Network," J. New Media , vol. 4, no. 4, pp. 205-217. 2022.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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