Detecting malicious nodes via gradient descent and support vector machine in Internet of Things

IoT devices have become much popular in our daily lives, while attackers often invade network nodes to launch various attacks. In this work, we focus on the detection of insider attacks in IoT networks. Most existing algorithms calculate the reputation of all nodes based on the routing path. However...

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Vydané v:	Computers & electrical engineering Ročník 77; s. 339 - 353
Hlavní autori:	Liu, Liang, Yang, Jingxiu, Meng, Weizhi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier Ltd 01.07.2019 Elsevier BV
Predmet:	Algorithms Design optimization Gradient descent Internet of Things K-means Machine learning Malicious node detection Nodes Route planning Support vector machine Support vector machines Trust management K-means Internet of things Gradient descent Machine learning Malicious node detection Support vector machine Trust management
ISSN:	0045-7906, 1879-0755
On-line prístup:	Získať plný text
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