VAE-XGBoost: A hybrid intrusion detection system for next generation EV charging networks.
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The datasets and source code utilized in this study are publicly available to ensure reproducibility.The CICEVSE2024 dataset, employed for both training and evaluation, is accessible at https:// www.unb.ca/cic/datasets/evse-dataset-2024.html. The complete Python implementation of the proposed VAE-XGBoost framework—including data preprocessing scripts, model training, and evaluation is available in this attachment.
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Zenodo创建时间：
2025-12-11
