Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT

The purpose of a Network Intrusion Detection System is to detect intrusive, malicious activities or policy violations in a host or host’s network. In current networks, such systems are becoming more important as the number and variety of attacks increase along with the volume and sensitiveness of th...

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Vydané v:	Sensors (Basel, Switzerland) Ročník 17; číslo 9; s. 1967
Hlavní autori:	Lopez-Martin, Manuel, Carro, Belen, Sanchez-Esguevillas, Antonio, Lloret, Jaime
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland MDPI AG 26.08.2017 MDPI
Predmet:	conditional variational autoencoder feature recovery Internet of Things intrusion detection Intrusion detection systems neural networks variational methods variational methods conditional variational autoencoder feature recovery intrusion detection neural networks
ISSN:	1424-8220, 1424-8220
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