Evaluating Tabular Representation Learning for Network Intrusion Detection
arXiv:2605.02519v1 Announce Type: new
Abstract: Classic Network Intrusion Detection Systems (NIDS) often rely on manual feature engineering to extract meaningful patterns from network traffic data. However, this approach requires domain expertise and …