A federated, autoencoder-based fusion framework for EV charging station intrusion detection reports 98.9% accuracy on CICEVSE2024, but without baseline comparisons and with severe class imbalance, the headline result is not convincing.
Injection attacks and detection strategy in front-end vehicle-to-grid communication,
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Fuse and Federate: Enhancing EV Charging Station Security with Multimodal Fusion and Federated Learning
A federated, autoencoder-based fusion framework for EV charging station intrusion detection reports 98.9% accuracy on CICEVSE2024, but without baseline comparisons and with severe class imbalance, the headline result is not convincing.