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An empirical assessment of ML models for 5G network intrusi..:
Bouke, Mohamed Aly
;
Abdullah, Azizol
e-Prime - Advances in Electrical Engineering, Electronics and Energy. 8 (2024) - p. 100590 , 2024
Link:
https://doi.org/10.1016/j.prime.2024.100590
RT Journal T1 <Title>An empirical assessment of ML models for 5G network intrusion detection: A data leakage-free approach</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.prime.2024.100590&Exemplar=1&LAN=DE A1 Bouke, Mohamed Aly A1 Abdullah, Azizol PB Elsevier BV YR 2024 SN 2772-6711 JF e-Prime - Advances in Electrical Engineering, Electronics and Energy VO 8 SP 100590 LK http://dx.doi.org/https://doi.org/10.1016/j.prime.2024.100590 DO https://doi.org/10.1016/j.prime.2024.100590 SF ELIB - SuUB Bremen
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