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1 Ergebnisse
1
Network Anomaly Detection Using Transfer Learning Based on ..:
, In:
Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security
,
Yehezkel, Aviv
;
Elyashiv, Eyal
;
Soffer, Or
- p. 61-71 , 2021
Link:
https://dl.acm.org/doi/10.1145/3474369.3486869
RT T1
Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security
: T1
Network Anomaly Detection Using Transfer Learning Based on Auto-Encoders Loss Normalization
UL https://suche.suub.uni-bremen.de/peid=acm-3486869&Exemplar=1&LAN=DE A1 Yehezkel, Aviv A1 Elyashiv, Eyal A1 Soffer, Or PB ACM YR 2021 K1 auto-encoders K1 deep-learning K1 domain generalization K1 network anomaly detection K1 transfer learning K1 Networks K1 Network properties K1 Network security K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Learning paradigms K1 Multi-task learning K1 Transfer learning K1 Unsupervised learning K1 Anomaly detection K1 Security and privacy K1 Intrusion/anomaly detection and malware mitigation K1 Intrusion detection systems SP 61 OP 71 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3474369.3486869 DO https://dl.acm.org/doi/10.1145/3474369.3486869 SF ELIB - SuUB Bremen
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