Toward Effective Intrusion Detection Using Log-Cosh Conditional Variational Autoencoder

Intrusion detection is an important technique that can provide solid protection for the network equipment against the security attacks. However, the attacks are usually unbalanced in different types and the attacks of unknown classes may also occur with the growth of Internet construction. In this c...

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Vydané v:	IEEE internet of things journal Ročník 8; číslo 8; s. 6187 - 6196
Hlavní autori:	Xu, Xing, Li, Jie, Yang, Yang, Shen, Fumin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 15.04.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Artificial neural networks Classification Data models Decoding Deep neural networks (DNNs) Feature extraction generative model Generators Hyperbolic functions Internet of Things Intrusion Intrusion detection Machine learning Security Trigonometric functions variational autoencoder (VAE)
ISSN:	2327-4662, 2327-4662
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