A transformer pretrained with contrastive learning on raw packet sequences, using a CutMix-style packet swap augmentation, improves intrusion detection and cross-dataset transfer compared with a NetFlow self-supervised baseline.
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Self-Supervised Transformer-based Contrastive Learning for Intrusion Detection Systems
A transformer pretrained with contrastive learning on raw packet sequences, using a CutMix-style packet swap augmentation, improves intrusion detection and cross-dataset transfer compared with a NetFlow self-supervised baseline.