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1 Ergebnisse
1
DDoSNet: A Deep-Learning Model for Detecting Network Attack:
, In:
2020 IEEE 21st International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)
,
Elsayed, Mahmoud Said
;
Le-Khac, Nhien-An
;
Dev, Soumyabrata
. - p. 391-396 , 2020
Link:
https://doi.org/10.1109/WoWMoM49955.2020.00072
RT T1
2020 IEEE 21st International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)
: T1
DDoSNet: A Deep-Learning Model for Detecting Network Attacks
UL https://suche.suub.uni-bremen.de/peid=ieee-9217754&Exemplar=1&LAN=DE A1 Elsayed, Mahmoud Said A1 Le-Khac, Nhien-An A1 Dev, Soumyabrata A1 Jurcut, Anca Delia YR 2020 K1 Computer crime K1 Training K1 Feature extraction K1 Machine learning K1 Recurrent neural networks K1 Support vector machines K1 CICDDoS2019 Dataset K1 DDoS attacks K1 Deep Learning K1 Intrusion Detection System K1 RNN K1 SDN SP 391 OP 396 LK http://dx.doi.org/https://doi.org/10.1109/WoWMoM49955.2020.00072 DO https://doi.org/10.1109/WoWMoM49955.2020.00072 SF ELIB - SuUB Bremen
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