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1 Ergebnisse
1
Unsupervised Network Traffic Anomaly Detection Method Based..:
, In:
2023 3rd International Conference on Energy Engineering and Power Systems (EEPS)
,
Dang, Qian
;
Cui, Ajun
;
Shang, Wenbo
... - p. 821-828 , 2023
Link:
https://doi.org/10.1109/EEPS58791.2023.10257132
RT T1 <cTitle>2023 3rd International Conference on Energy Engineering and Power Systems (EEPS)</cTitle>: T1 <Title>Unsupervised Network Traffic Anomaly Detection Method Based on Attribute Graph in Power Internet of Things</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10257132&Exemplar=1&LAN=DE A1 Dang, Qian A1 Cui, Ajun A1 Shang, Wenbo A1 Du, Chunhui A1 Wang, Chenyu A1 Gui, Xiaolin YR 2023 K1 Uncertainty K1 Network topology K1 Telecommunication traffic K1 Power system stability K1 Feature extraction K1 Stability analysis K1 Power grids K1 anomaly detection K1 unsupervised K1 autoencoder K1 attribute graph SP 821 OP 828 LK http://dx.doi.org/https://doi.org/10.1109/EEPS58791.2023.10257132 DO https://doi.org/10.1109/EEPS58791.2023.10257132 SF ELIB - SuUB Bremen
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