Unsupervised detection of botnet activities using frequent pattern tree mining
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2198-6053
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Unsupervised detection of botnet activities using frequent pattern tree mining ; day:25 ; month:2 ; year:2021 ; pages:1-9
Complex & intelligent systems ; (25.2.2021), 1-9
- Urheber
-
Hao, Siqiang
Liu, Di
Baldi, Simone
Yu, Wenwu
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s40747-021-00281-5
- URN
-
urn:nbn:de:101:1-2021042219052576687352
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 14.08.2025, 10:46 MESZ
Datenpartner
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Beteiligte
- Hao, Siqiang
- Liu, Di
- Baldi, Simone
- Yu, Wenwu
- SpringerLink (Online service)
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