Robust Intrusion Detection for Industrial Control Systems Using Improved Autoencoder and Bayesian Gaussian Mixture Model

Robust Intrusion Detection for Industrial Control Systems Using Improved Autoencoder and Bayesian Gaussian Mixture Model

Machine learning-based intrusion detection systems are an effective way to cope with the increasing security threats faced by industrial control systems. Considering that it is hard and expensive to obtain attack data, it is more reasonable to develop a model trained with only normal data. However,...

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Bibliographic Details
Main Authors: Chao Wang, Hongri Liu, Chao Li, Yunxiao Sun, Wenting Wang, Bailing Wang
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Mathematics
Subjects:
industrial control systems
network security
intrusion detection
anomaly detection
autoencoder
Online Access:https://www.mdpi.com/2227-7390/11/9/2048

Internet

https://www.mdpi.com/2227-7390/11/9/2048

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