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Detecting DDoS Attacks Using a New Polyscale Convolutional ..:
, In:
2021 IEEE 20th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)
,
Ghanbari, Maryam
;
Kinsner, Witold
- p. 158-165 , 2021
Link:
https://doi.org/10.1109/ICCICC53683.2021.9811301
RT T1 <cTitle>2021 IEEE 20th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)</cTitle>: T1 <Title>Detecting DDoS Attacks Using a New Polyscale Convolutional Neural Network for Policy Gradient Based DRL</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9811301&Exemplar=1&LAN=DE A1 Ghanbari, Maryam A1 Kinsner, Witold YR 2021 K1 Distributed databases K1 Intrusion detection K1 Reinforcement learning K1 Computer architecture K1 Denial-of-service attack K1 Feature extraction K1 Behavioral sciences K1 Deep reinforcement learning K1 convolutional neural networks K1 Internet traffic time series K1 distributed denial of service attacks SP 158 OP 165 LK http://dx.doi.org/https://doi.org/10.1109/ICCICC53683.2021.9811301 DO https://doi.org/10.1109/ICCICC53683.2021.9811301 SF ELIB - SuUB Bremen
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