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1 Ergebnisse
1
Anomaly network intrusion detection system based on NetFlow..:
Touati B. Adli
;
Salem-Bilal B. Amokrane
;
Boban Z. Pavlović
..
https://scindeks.ceon.rs/article.aspx?artid=0042-84692304941A. , 2023
Link:
https://doi.org/10.5937/vojtehg71-46058
RT Journal T1
Anomaly network intrusion detection system based on NetFlow using machine/deep learning
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:2f0d10a6fb52416f8a677871dc569fdf&Exemplar=1&LAN=DE A1 Touati B. Adli A1 Salem-Bilal B. Amokrane A1 Boban Z. Pavlović A1 Mohammad Zouaoui M. Laidouni A1 Taki-eddine Ahmed A. Benyahia PB University of Defence in Belgrade YR 2023 K1 network intrusion detection system (nids) K1 netflow features K1 machine/deep learning K1 anomaly-based nids K1 Military Science K1 U K1 Engineering (General). Civil engineering (General) K1 TA1-2040 JF https://scindeks.ceon.rs/article.aspx?artid=0042-84692304941A LK http://dx.doi.org/https://doi.org/10.5937/vojtehg71-46058 DO https://doi.org/10.5937/vojtehg71-46058 SF ELIB - SuUB Bremen
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