A Multi-Objective Optimized CNN-LSTM-Attention Framework for Real-Time Intrusion Detection in 6G Smart-Grid Cyber-Physical Systems
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资源简介：
Minimal dataset and reproducibility code for a deep-learning intrusion detection study with multi-objective parameter optimization, evaluated on the NSL-KDD, KDD Cup 99, UNSW-NB15, and CICIDS2017 network intrusion detection benchmarks.
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Zenodo创建时间：
2026-06-27
