Toward Design of an Intelligent Cyber Attack Detection System using Hybrid Feature Reduced Approach for IoT Networks

With simple connectivity and fast-growing demand of smart devices and networks, IoT has become more prone to cyber attacks. In order to detect and prevent cyber attacks in IoT networks, intrusion detection system (IDS) plays a crucial role. However, most of the existing IDS have dimensionality curse...

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Vydáno v:	Arabian journal for science and engineering (2011) Ročník 46; číslo 4; s. 3749 - 3778
Hlavní autoři:	Kumar, Prabhat, Gupta, Govind P., Tripathi, Rakesh
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2021 Springer Nature B.V
Témata:	Accuracy Algorithms Correlation coefficients Cybersecurity Datasets Direct reduction Electronic devices Engineering Humanities and Social Sciences Hybrid systems Machine learning multidisciplinary Networks Research Article-Computer Engineering and Computer Science Science Cyber attacks Internet of Things (IoT) Feature selection Intrusion detection system (IDS) Feature ranking
ISSN:	2193-567X, 1319-8025, 2191-4281
On-line přístup:	Získat plný text
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