Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks

Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks

Abstract Electric Vehicle Charging Station (EVCS) security is a growing concern in today’s connected world due to the growing complexity and frequency of cyber threats. Traditional Intrusion Detection Systems (IDS) for EV chargers struggle to detect novel or unexpected attacks due to their usage of...

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Bibliographic Details
Main Authors:	Ahmad Almadhor, Shtwai Alsubai, Imen Bouazzi, Vincent Karovic, Monika Davidekova, Abdullah Al Hejaili, Gabriel Avelino Sampedro
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-03-01
Series:	Scientific Reports
Subjects:	Electric vehicle charging stations Cyber attacks Deep learning Transfer learning LSTM-RNN Intrusion detection systems (IDS)
Online Access:	https://doi.org/10.1038/s41598-025-93135-w
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