Supervised models fail when faced with new, unseen attacks. Our research leverages autoencoders + GMM clustering to detect anomalies without labeled data, achieving 92.2% F1-score on previously unknown DoS Goldeneye attacks. A critical step toward self-healing 6G networks.
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🌟 Full paper in: https://zenodo.org/records/11045714