The future of 6G security lies in autonomous, self-learning AI architectures capable of real-time threat mitigation. Our latest research introduces an unsupervised deep learning model—combining autoencoders and Gaussian Mixture Models (GMM)—to detect DoS attacks like Hulk and Goldeneye with F1-scores up to 97.3%. Discover how we’re paving the way for collective network intelligence in 6G.
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🌟 Full paper in: https://zenodo.org/records/11045714