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1 Ergebnisse
1
Unsupervised Graph-Sequence Anomaly Detection for 5G Core N..:
, In:
2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)
,
Wang, Min
;
Li, Peng
;
Cheng, Zhang
... - p. 1645-1652 , 2023
Link:
https://doi.org/10.1109/ICPADS60453.2023.00230
RT T1 <cTitle>2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)</cTitle>: T1 <Title>Unsupervised Graph-Sequence Anomaly Detection for 5G Core Network Control Plane Traffic</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10475915&Exemplar=1&LAN=DE A1 Wang, Min A1 Li, Peng A1 Cheng, Zhang A1 Liu, Wenmao A1 Nie, Lei A1 Bao, Haizhou A1 Liu, Qin A1 Zhang, Kai YR 2023 SN 2690-5965 K1 5G mobile communication K1 Neural networks K1 Directed graphs K1 Feature extraction K1 Security K1 Noise measurement K1 Anomaly detection K1 5G core network K1 graph neural network K1 anomaly detection K1 control plane K1 normalizing flows SP 1645 OP 1652 LK http://dx.doi.org/https://doi.org/10.1109/ICPADS60453.2023.00230 DO https://doi.org/10.1109/ICPADS60453.2023.00230 SF ELIB - SuUB Bremen
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