An intrusion detection method based on stacked sparse autoencoder and improved gaussian mixture model

The analysis of a substantial portion of network data is a requirement for almost any machine learning-based network intrusion detection method. High dimension features, a lack of labelled datasets, and inflexible feature selection are some of the difficulties it encounters. This paper proposes an i...

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Vydané v:	Computers & security Ročník 128; s. 103144
Hlavní autori:	Zhang, Tianyue, Chen, Wei, Liu, Yuxiao, Wu, Lifa
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.05.2023
Predmet:	Autoencoder Deep learning Gaussian mixture Intrusion detection Unsupervised learning Deep learning Gaussian mixture Autoencoder Intrusion detection Unsupervised learning
ISSN:	0167-4048, 1872-6208
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