DI-NIDS: Domain Invariant Network Intrusion Detection System. (arXiv:2210.08252v1 [cs.CR])

The performance of machine learning based network intrusion detection systems
(NIDSs) severely degrades when deployed on a network with significantly
different feature distributions from the ones of the training dataset. In
various applications, such as computer vision, domain adaptation techniques
have been successful in mitigating the gap between the distributions of the
training and test data. In the case of network intrusion detection however, the
state-of-the-art domain adaptation approaches have had limited success.
According to recent studies, as well as …

detection domain intrusion intrusion detection intrusion detection system network system