Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning

Abstract Internet of Things (IoT) devices are widely used but also vulnerable to cyberattacks that can cause security issues. To protect against this, machine learning approaches have been developed for network intrusion detection in IoT. These often use feature reduction techniques like feature sel...

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Autori principali:	Jing Li, Mohd Shahizan Othman, Hewan Chen, Lizawati Mi Yusuf
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	SpringerOpen 2024-02-01
Serie:	Journal of Big Data
Soggetti:	Internet of Things IoT Intrusion detection Feature selection Feature extraction Machine learning
Accesso online:	https://doi.org/10.1186/s40537-024-00892-y
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