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1
Enhancing Intrusion detection: Leveraging Federated Learnin..:
, In:
2023 International Conference on Frontiers of Information Technology (FIT)
,
Naeem, Faiza
;
Malik, Asad Waqar
;
Abbas Khan, Safdar
. - p. 73-78 , 2023
Link:
https://doi.org/10.1109/FIT60620.2023.00023
RT T1 <cTitle>2023 International Conference on Frontiers of Information Technology (FIT)</cTitle>: T1 <Title>Enhancing Intrusion detection: Leveraging Federated Learning and Hybrid Machine Learning Algorithms On ToN_IoT Dataset</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10410396&Exemplar=1&LAN=DE A1 Naeem, Faiza A1 Malik, Asad Waqar A1 Abbas Khan, Safdar A1 Jabeen, Farzana YR 2023 SN 2473-7569 K1 Performance evaluation K1 Machine learning algorithms K1 Federated learning K1 Tracking K1 Intrusion detection K1 Prediction algorithms K1 Internet of Things K1 Internet of Things (IoT) K1 Industrial Internet of Things (IIoT) K1 cybersecurity K1 intrusion detection systems (IDSs) K1 Machine Learning K1 Federated Learning K1 XGBoost SP 73 OP 78 LK http://dx.doi.org/https://doi.org/10.1109/FIT60620.2023.00023 DO https://doi.org/10.1109/FIT60620.2023.00023 SF ELIB - SuUB Bremen
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