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1 Ergebnisse
1
Using Genetic Algorithms to Detect Intrusions for IoT Syste..:
, In:
2023 IEEE International Conference on E-health Networking, Application & Services (Healthcom)
,
Khamoun, Amel
;
Ziani, Riad Mohamed
;
Salem, Osman
. - p. 1-6 , 2023
Link:
https://doi.org/10.1109/Healthcom56612.2023.10472377
RT T1
2023 IEEE International Conference on E-health Networking, Application & Services (Healthcom)
: T1
Using Genetic Algorithms to Detect Intrusions for IoT Systems
UL https://suche.suub.uni-bremen.de/peid=ieee-10472377&Exemplar=1&LAN=DE A1 Khamoun, Amel A1 Ziani, Riad Mohamed A1 Salem, Osman A1 Mehaoua, Ahmed YR 2023 K1 Deep learning K1 Training K1 Machine learning algorithms K1 Neural networks K1 Intrusion detection K1 Topology K1 Security K1 IoT K1 machine learning K1 genetic algorithm K1 intrusion K1 IDS SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/Healthcom56612.2023.10472377 DO https://doi.org/10.1109/Healthcom56612.2023.10472377 SF ELIB - SuUB Bremen
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