RDTIDS: Rules and Decision Tree-Based Intrusion Detection System for Internet-of-Things Networks

This paper proposes a novel intrusion detection system (IDS), named RDTIDS, for Internet-of-Things (IoT) networks. The RDTIDS combines different classifier approaches which are based on decision tree and rules-based concepts, namely, REP Tree, JRip algorithm and Forest PA. Specifically, the first an...

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Vydané v:	Future internet Ročník 12; číslo 3; s. 44
Hlavní autori:	Ferrag, Mohamed Amine, Maglaras, Leandros, Ahmim, Ahmed, Derdour, Makhlouf, Janicke, Helge
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.03.2020
Predmet:	Access control Accuracy Algorithms Classification Classifiers Clustering Communications traffic Data mining Datasets Decision trees False alarms hierarchical hybrid ids ids Internet of Things intrusion detection Intrusion detection systems learning machine Machine learning network security Neural networks Performance evaluation Support vector machines Taxonomy
ISSN:	1999-5903, 1999-5903
On-line prístup:	Získať plný text
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