- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Hybrid intrusion detection models based on GWO optimized deep learning ; volume:6 ; number:10 ; day:8 ; month:10 ; year:2024 ; pages:1-34 ; date:10.2024
Discover applied sciences ; 6, Heft 10 (8.10.2024), 1-34, 10.2024
- Urheber
-
Elsaid, Shaimaa Ahmed
Shehab, Esraa
Mattar, Ahmed M.
Azar, Ahmad Taher
Hameed, Ibrahim A.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s42452-024-06209-1
- URN
-
urn:nbn:de:101:1-2412252102177.532146576553
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:31 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Elsaid, Shaimaa Ahmed
- Shehab, Esraa
- Mattar, Ahmed M.
- Azar, Ahmad Taher
- Hameed, Ibrahim A.
- SpringerLink (Online service)
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