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1 Ergebnisse
1
Windower: Feature Extraction for Real-Time DDoS Detection U..:
, In:
NOMS 2024-2024 IEEE Network Operations and Management Symposium
,
Goldschmidt, Patrik
;
Kucera, Jan
- p. 1-10 , 2024
Link:
https://doi.org/10.1109/NOMS59830.2024.10575699
RT T1 <cTitle>NOMS 2024-2024 IEEE Network Operations and Management Symposium</cTitle>: T1 <Title>Windower: Feature Extraction for Real-Time DDoS Detection Using Machine Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10575699&Exemplar=1&LAN=DE A1 Goldschmidt, Patrik A1 Kucera, Jan YR 2024 SN 2374-9709 K1 Resistance K1 Runtime K1 Feature extraction K1 Real-time systems K1 Reliability K1 Data mining K1 Floods K1 network intrusion detection K1 NIDS K1 DDoS mitigation K1 real-time K1 stream data mining K1 machine learning SP 1 OP 10 LK http://dx.doi.org/https://doi.org/10.1109/NOMS59830.2024.10575699 DO https://doi.org/10.1109/NOMS59830.2024.10575699 SF ELIB - SuUB Bremen
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