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1
Deep learning based on byte sample entropy for VPN encrypte..:
, In:
2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)
,
Wang, Yajuan
;
Yu, Gengshen
;
Shen, Wen
. - p. 293-296 , 2022
Link:
https://doi.org/10.1109/AEMCSE55572.2022.00066
RT T1 <cTitle>2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)</cTitle>: T1 <Title>Deep learning based on byte sample entropy for VPN encrypted traffic identification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9948374&Exemplar=1&LAN=DE A1 Wang, Yajuan A1 Yu, Gengshen A1 Shen, Wen A1 Sun, Lintan YR 2022 K1 Radio frequency K1 Protocols K1 Software algorithms K1 Telecommunication traffic K1 Tunneling K1 Feature extraction K1 Entropy K1 Encrypted raffic identification K1 VPN traffic K1 byte sample entropy K1 random forest algorithm SP 293 OP 296 LK http://dx.doi.org/https://doi.org/10.1109/AEMCSE55572.2022.00066 DO https://doi.org/10.1109/AEMCSE55572.2022.00066 SF ELIB - SuUB Bremen
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