Meta learning-based few-shot intrusion detection for 5G-enabled industrial internet
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Meta learning-based few-shot intrusion detection for 5G-enabled industrial internet ; volume:10 ; number:3 ; day:25 ; month:3 ; year:2024 ; pages:4589-4608 ; date:6.2024
Complex & intelligent systems ; 10, Heft 3 (25.3.2024), 4589-4608, 6.2024
- Urheber
-
Yan, Yu
Yang, Yu
Shen, Fang
Gao, Minna
Gu, Yuheng
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s40747-024-01388-1
- URN
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urn:nbn:de:101:1-2407252106121.620869410497
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:55 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Yan, Yu
- Yang, Yu
- Shen, Fang
- Gao, Minna
- Gu, Yuheng
- SpringerLink (Online service)
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