Towards a more secure reconstruction-based anomaly detection model for power transformer differential protection

Towards a more secure reconstruction-based anomaly detection model for power transformer differential protection

IntroductionCyberattacks against Power Transformer Differential Protection (PTDP) have the potential to cause significant disruption and widespread blackouts in power infrastructure. Recent literature has demonstrated how reconstruction-based anomaly detection models can play a critical role in enha...

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Bibliographic Details
Main Authors:	Martiya Zare Jahromi, Mohsen Khalaf, Marthe Kassouf, Deepa Kundur
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-12-01
Series:	Frontiers in Energy Research
Subjects:	cyber-physical systems trustworthy machine learning anomaly detection transformer protective relays adversarial defense
Online Access:	https://www.frontiersin.org/articles/10.3389/fenrg.2024.1444697/full
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