Hochschulschrift
Adaptive Real-time Anomaly-based Intrusion Detection using Data Mining and Machine Learning Techniques
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Kassel, Univ., Diss., 2014
- Klassifikation
-
Informatik
- Schlagwort
-
Rechnernetz
Datensicherung
Computersicherheit
Eindringerkennung
Data Mining
Maschinelles Lernen
- Ereignis
-
Veröffentlichung
- (wo)
-
Kassel
- (wer)
-
Universitätsbibliothek Kassel
- (wann)
-
2014
- Urheber
- URN
-
urn:nbn:de:hebis:34-2014091546010
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:37 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Hochschulschrift
Beteiligte
- Salem, Maher
- Universitätsbibliothek Kassel
Entstanden
- 2014
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