Identifying the most accurate machine learning classification technique to detect network threats
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Identifying the most accurate machine learning classification technique to detect network threats ; day:5 ; month:3 ; year:2024 ; pages:1-18
Neural computing & applications ; (5.3.2024), 1-18
- Urheber
-
Farouk, Mohamed
Sakr, Rasha Hassan
Hikal, Noha
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1007/s00521-024-09562-9
- URN
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urn:nbn:de:101:1-2405101048033.157202824042
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:49 MESZ
Datenpartner
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Beteiligte
- Farouk, Mohamed
- Sakr, Rasha Hassan
- Hikal, Noha
- SpringerLink (Online service)
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