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1 Ergebnisse
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An efficient deep learning model for intrusion classificati..:
, In:
2019 53rd Annual Conference on Information Sciences and Systems (CISS)
,
Rezvy, Shahadate
;
Luo, Yuan
;
Petridis, Miltos
.. - p. 1-6 , 2019
Link:
https://doi.org/10.1109/CISS.2019.8693059
RT T1 <cTitle>2019 53rd Annual Conference on Information Sciences and Systems (CISS)</cTitle>: T1 <Title>An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8693059&Exemplar=1&LAN=DE A1 Rezvy, Shahadate A1 Luo, Yuan A1 Petridis, Miltos A1 Lasebae, Aboubaker A1 Zebin, Tahmina YR 2019 K1 Deep learning K1 Neural networks K1 Intrusion detection K1 Feature extraction K1 Training K1 Internet of Things K1 Wireless networks K1 computer network security K1 deep learning K1 intrusion detection system K1 autoencoder K1 dense neural network SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/CISS.2019.8693059 DO https://doi.org/10.1109/CISS.2019.8693059 SF ELIB - SuUB Bremen
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