A 3D CNN trained on 8-frame hive-plot sequences with FGSM, PGD, and augmentations reaches 93-99% accuracy on perturbed DDoS samples from the Marist benchmark.
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Robust DDoS-Attack Classification with 3D CNNs Against Adversarial Methods
A 3D CNN trained on 8-frame hive-plot sequences with FGSM, PGD, and augmentations reaches 93-99% accuracy on perturbed DDoS samples from the Marist benchmark.