CLAN clusters genuine benign network flows while repelling augmented copies, then classifies new flows by distance to the cluster centroid; on Lycos2017 it reports the highest mean AUROC among compared SSL and anomaly detectors.
An investigation into the performance of non-contrastive self-supervised learning methods for network intrusion detection,
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Contrastive Self-Supervised Network Intrusion Detection using Augmented Negative Pairs
CLAN clusters genuine benign network flows while repelling augmented copies, then classifies new flows by distance to the cluster centroid; on Lycos2017 it reports the highest mean AUROC among compared SSL and anomaly detectors.