A hybrid approach for efficient feature selection in anomaly intrusion detection for IoT networks
- 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
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A hybrid approach for efficient feature selection in anomaly intrusion detection for IoT networks ; volume:80 ; number:19 ; day:29 ; month:8 ; year:2024 ; pages:26942-26984 ; date:12.2024
The journal of supercomputing ; 80, Heft 19 (29.8.2024), 26942-26984, 12.2024
- Urheber
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Ayad, Aya G.
Sakr, Nehal A.
Hikal, Noha A.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1007/s11227-024-06409-x
- URN
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urn:nbn:de:101:1-2412202124185.208148042701
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:33 MESZ
Datenpartner
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Beteiligte
- Ayad, Aya G.
- Sakr, Nehal A.
- Hikal, Noha A.
- SpringerLink (Online service)
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