- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2510-523X
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
A deep learning framework for predicting cyber attacks rates ; volume:2019 ; number:1 ; day:22 ; month:5 ; year:2019 ; pages:1-11 ; date:12.2019
EURASIP journal on information security ; 2019, Heft 1 (22.5.2019), 1-11, 12.2019
- Urheber
-
Fang, Xing
Xu, Maochao
Xu, Shouhuai
Zhao, Peng
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13635-019-0090-6
- URN
-
urn:nbn:de:101:1-2019110618495681738606
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:36 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Fang, Xing
- Xu, Maochao
- Xu, Shouhuai
- Zhao, Peng
- SpringerLink (Online service)
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