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Lightweight machine learning-based intrusion detection under class imbalance in smart grids

author
Saleh, Eman Salem Saadallah
Bahsi, Hayretdin
Chub, Andrii
statement of authorship
Eman Saleh, Hayretdin Bahsi, Andrii Chub
source
2025 IEEE 66th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)
publisher
IEEE
year of publication
2025
pages
6 p
conference name, date
66th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), October 23-25, 2025
conference location
Riga, Latvia
url
https://doi.org/10.1109/RTUCON67996.2025.11415103
subject term
automaatjuhtimine
tehisõpe
tarkvõrgud
küberkuriteod
keyword
industrial control systems (ICS)
intrusion detection systems (IDS)
feature selection (FS)
class imbalance
machine learning (ML)
smart grids (SG)
ISSN
2768-3338
2996-1033
ISBN
979-8-3315-7772-8
979-8-3315-7773-5
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
Department of Software Science
elektroenergeetika ja mehhatroonika instituut
language
English
Saleh, E., Bahsi, H., Chub, A. Lightweight machine learning-based intrusion detection under class imbalance in smart grids // 2025 IEEE 66th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). : IEEE, 2025. 6 p. https://doi.org/10.1109/RTUCON67996.2025.11415103