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1 Ergebnisse
1
A novel machine learning based intrusion detection method f..:
, In:
2022 International Wireless Communications and Mobile Computing (IWCMC)
,
Li, Wei
;
Yan, Zengwei
;
He, Renwei
... - p. 211-216 , 2022
Link:
https://doi.org/10.1109/IWCMC55113.2022.9824972
RT T1 <cTitle>2022 International Wireless Communications and Mobile Computing (IWCMC)</cTitle>: T1 <Title>A novel machine learning based intrusion detection method for 5G empowered CBTC systems</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9824972&Exemplar=1&LAN=DE A1 Li, Wei A1 Yan, Zengwei A1 He, Renwei A1 Zong, Liming A1 Zhang, Fan A1 Zhan, Yanjun YR 2022 SN 2376-6506 K1 Wireless communication K1 Rails K1 5G mobile communication K1 Neural networks K1 Intrusion detection K1 Machine learning K1 Feature extraction K1 IDS K1 CBTC K1 5G K1 decision tree K1 neural networks SP 211 OP 216 LK http://dx.doi.org/https://doi.org/10.1109/IWCMC55113.2022.9824972 DO https://doi.org/10.1109/IWCMC55113.2022.9824972 SF ELIB - SuUB Bremen
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