Towards Deep-Learning-Driven Intrusion Detection for the Internet of Things

Cyber-attacks on the Internet of Things (IoT) are growing at an alarming rate as devices, applications, and communication networks are becoming increasingly connected and integrated. When attacks on IoT networks go undetected for longer periods, it affects availability of critical systems for end us...

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Vydané v:	Sensors (Basel, Switzerland) Ročník 19; číslo 9; s. 1977
Hlavní autori:	Thamilarasu, Geethapriya, Chawla, Shiven
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland MDPI AG 27.04.2019 MDPI
Predmet:	Algorithms Deep learning International conferences Internet of Things Internet of Things (IoT) Intrusion detection systems Intrusion-Detection System (IDS) machine learning Malware Privacy security Security systems Wireless networks United States > US China India Intrusion-Detection System (IDS) deep learning Internet of Things (IoT) security machine learning
ISSN:	1424-8220, 1424-8220
On-line prístup:	Získať plný text
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