Supervised models are only as good as their training data—but new attacks emerge daily. Our unsupervised autoencoder-GMM approach detects threats without labeled samples, achieving 97%+ F1-scores on both known and unknown DoS variants.
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🌟 Full paper in: https://zenodo.org/records/11045714