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1 Ergebnisse
1
Using Poisson Distribution to Enhance CNN-based NB-IoT LDoS..:
, In:
2022 IEEE Conference on Dependable and Secure Computing (DSC)
,
Zeng, Jiang-Yi
;
Chang, Li-En
;
Cho, Hsin-Hung
... - p. 1-7 , 2022
Link:
https://doi.org/10.1109/DSC54232.2022.9888864
RT T1
2022 IEEE Conference on Dependable and Secure Computing (DSC)
: T1
Using Poisson Distribution to Enhance CNN-based NB-IoT LDoS Attack Detection
UL https://suche.suub.uni-bremen.de/peid=ieee-9888864&Exemplar=1&LAN=DE A1 Zeng, Jiang-Yi A1 Chang, Li-En A1 Cho, Hsin-Hung A1 Chen, Chi-Yuan A1 Chao, Han-Chieh A1 Yeh, Kuo-Hui YR 2022 K1 Training K1 Computational modeling K1 Intrusion detection K1 Organizations K1 Denial-of-service attack K1 Software K1 Hardware K1 Low-rate denial-of-service attacks K1 convolutional neural network K1 Poisson distribution SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/DSC54232.2022.9888864 DO https://doi.org/10.1109/DSC54232.2022.9888864 SF ELIB - SuUB Bremen
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