crossrefApplied Sciences2025-07-30Cited by 3
The Choice of Training Data and the Generalizability of Machine Learning Models for Network Intrusion Detection Systems
Marcin Iwanowski, Dominik Olszewski, Waldemar Graniszewski, Jacek Krupski, Franciszek Pelc
Network Intrusion Detection Systems (NIDS) driven by Machine Learning (ML) algorithms are usually trained using publicly available datasets consisting of labeled traffic samples, where labels refer to traffic classes, usually one benign and multiple harmful. This paper studies th…