Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
-
Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning ; volume:11 ; number:1 ; day:24 ; month:2 ; year:2024 ; pages:1-44 ; date:12.2024
Journal of Big Data ; 11, Heft 1 (24.2.2024), 1-44, 12.2024
- Urheber
-
Li, Jing
Othman, Mohd Shahizan
Chen, Hewan
Yusuf, Lizawati Mi
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s40537-024-00892-y
- URN
-
urn:nbn:de:101:1-2405020850294.865318554090
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:53 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Li, Jing
- Othman, Mohd Shahizan
- Chen, Hewan
- Yusuf, Lizawati Mi
- SpringerLink (Online service)
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