A Generalized Lightweight Intrusion Detection Model With Unified Feature Selection for Internet of Things Networks

ABSTRACT The applicability of the Internet of Things (IoT) cutting across different domains has resulted in newer “things” acquiring IP connectivity. These things, technically known as IoT devices, are vulnerable to diverse security threats. Consequently, there has been an exponential increase in Io...

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Veröffentlicht in:	International journal of network management 2024-11, Vol.34 (6), p.n/a
Hauptverfasser:	Nath N, Renya, Nath, Hiran V.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Cybersecurity Feature selection Internet of Things intrusion detection Intrusion detection systems Lightweight machine learning Networks Weight reduction
Online-Zugang:	Volltext
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