Intrusion Detection System After Data Augmentation Schemes Based on the VAE and CVAE

Industrial Internet of Things (IoT) is the most rapidly developing industry in the current IoT industry, and the intrusion detection system (IDS) remains one of the key technologies for industrial IoT security protection. Researchers have considered applying algorithms such as machine learning and d...

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Veröffentlicht in:	IEEE transactions on reliability Jg. 71; H. 2; S. 1000 - 1010
Hauptverfasser:	Liu, Chang, Antypenko, Ruslan, Sushko, Iryna, Zakharchenko, Oksana
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.06.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Balancing Conditional variational autoencoder (CVAE) Convolutional neural networks Data augmentation data imbalance Data models Data processing Deep learning Feature extraction Industrial applications Industrial development Industrial Internet of Things Internet of Things intrusion detection system (IDS) Intrusion detection systems Machine learning Machine learning algorithms Neural networks Training variational autoencoder (VAE)
ISSN:	0018-9529, 1558-1721
Online-Zugang:	Volltext
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