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1 Ergebnisse
1
Modulating LSTMs of Data-Driven Domain Features for DGA Det..:
, In:
2024 IEEE 2nd International Conference on Control, Electronics and Computer Technology (ICCECT)
,
Zhao, Ruixuan
;
Chen, Chuyi
;
Li, Ruoyu
... - p. 1508-1514 , 2024
Link:
https://doi.org/10.1109/ICCECT60629.2024.10545717
RT T1 <cTitle>2024 IEEE 2nd International Conference on Control, Electronics and Computer Technology (ICCECT)</cTitle>: T1 <Title>Modulating LSTMs of Data-Driven Domain Features for DGA Detection: A Semantic Context-Dependent Method</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10545717&Exemplar=1&LAN=DE A1 Zhao, Ruixuan A1 Chen, Chuyi A1 Li, Ruoyu A1 Yan, Baotong A1 Liu, Shenghang A1 Wang, Hongan YR 2024 K1 Machine learning algorithms K1 Computational modeling K1 Semantics K1 Pipelines K1 Machine learning K1 Feature extraction K1 Encoding K1 DGA detection K1 byte-pair encoding K1 semantic representation K1 LSTM variant SP 1508 OP 1514 LK http://dx.doi.org/https://doi.org/10.1109/ICCECT60629.2024.10545717 DO https://doi.org/10.1109/ICCECT60629.2024.10545717 SF ELIB - SuUB Bremen
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