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Stacking Ensemble Learning Model for Intrusion Detection in Electrical Substation

Electrical substations are crucial infrastructure in power transmission and distribution but are increasingly vulnerable to cyber threats. However, existing intrusion detection systems (IDS) face challenges such as high false positive rates, limited adaptability to emerging attack patterns, and imba...

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Principais autores: Mohammad Mahruf Alam, Feddy Setio Pribadi, Rizky Ajie Aprilianto, Arvina Rizqi Nurul’aini
Format: Artigo
Sprog:Inglês
Udgivet: Ikatan Ahli Informatika Indonesia 2025-10-01
Serier:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Fag:
electrical substations
intrusion detection system
machine learning
stacking ensemble learning
Online adgang:https://jurnal.iaii.or.id/index.php/RESTI/article/view/6502
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