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...

Full description

Bibliographic Details

Published in:	Computers & security Vol. 128; p. 103144
Main Authors:	Zhang, Tianyue, Chen, Wei, Liu, Yuxiao, Wu, Lifa
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.05.2023
Subjects:	Autoencoder Deep learning Gaussian mixture Intrusion detection Unsupervised learning Deep learning Gaussian mixture Autoencoder Intrusion detection Unsupervised learning
ISSN:	0167-4048, 1872-6208
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!