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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Veröffentlicht in:	Future internet Jg. 12; H. 3; S. 44
Hauptverfasser:	Ferrag, Mohamed Amine, Maglaras, Leandros, Ahmim, Ahmed, Derdour, Makhlouf, Janicke, Helge
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.03.2020
Schlagworte:	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
Online-Zugang:	Volltext
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