Evaluating Tabular Representation Learning for Network Intrusion Detection

Muhammad Usman Butt, Andreas Hotho, Daniel Schlör

Classic Network Intrusion Detection Systems (NIDS) often rely on manual feature engineering to extract meaningful patterns from network traffic data. However, this approach require…