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1 Ergebnisse
1
MISCNN: A Novel Learning Scheme for CNN-Based Network Traff..:
, In:
2022 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS)
,
Baek, Ui-Jun
;
Kim, Boseon
;
Park, Jee-Tae
.. - p. 01-06 , 2022
Link:
https://doi.org/10.23919/APNOMS56106.2022.9919961
RT T1 <cTitle>2022 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS)</cTitle>: T1 <Title>MISCNN: A Novel Learning Scheme for CNN-Based Network Traffic Classification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9919961&Exemplar=1&LAN=DE A1 Baek, Ui-Jun A1 Kim, Boseon A1 Park, Jee-Tae A1 Choi, Jeong-Woo A1 Kim, Myung-Sup YR 2022 K1 Encapsulation K1 Deep learning K1 Shape K1 Neural networks K1 Telecommunication traffic K1 Feature extraction K1 Internet K1 traffic classification K1 traffic identification K1 convolutional neural network K1 DL-based classification SP 01 OP 06 LK http://dx.doi.org/https://doi.org/10.23919/APNOMS56106.2022.9919961 DO https://doi.org/10.23919/APNOMS56106.2022.9919961 SF ELIB - SuUB Bremen
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