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1 Ergebnisse
1
CNN-PSO-KELM: A Deep Learning Intrusion Detection Model for..:
, In:
2023 19th International Conference on Mobility, Sensing and Networking (MSN)
,
Lv, Fei
;
Sun, Rongkang
;
Wang, Hangyu
... - p. 382-389 , 2023
Link:
https://doi.org/10.1109/MSN60784.2023.00063
RT T1 <cTitle>2023 19th International Conference on Mobility, Sensing and Networking (MSN)</cTitle>: T1 <Title>CNN-PSO-KELM: A Deep Learning Intrusion Detection Model for Imbalanced IoT Data</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10567021&Exemplar=1&LAN=DE A1 Lv, Fei A1 Sun, Rongkang A1 Wang, Hangyu A1 Zhang, Meng A1 Si, Shuaizong A1 Bu, Zhe A1 Zhou, Chengsheng A1 Sun, Limin YR 2023 SN 2994-3523 K1 Deep learning K1 Accuracy K1 Extreme learning machines K1 Intrusion detection K1 Feature extraction K1 Sensors K1 Convolutional neural networks K1 intrusion detection K1 imbalanced IoT data K1 CNN K1 KELM K1 PSO SP 382 OP 389 LK http://dx.doi.org/https://doi.org/10.1109/MSN60784.2023.00063 DO https://doi.org/10.1109/MSN60784.2023.00063 SF ELIB - SuUB Bremen
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