Rare Yet Popular: Evidence and Implications from Labeled Datasets for Network Anomaly Detection. (arXiv:2211.10129v1 [cs.NI])

Anomaly detection research works generally propose algorithms or end-to-end
systems that are designed to automatically discover outliers in a dataset or a
stream. While literature abounds concerning algorithms or the definition of
metrics for better evaluation, the quality of the ground truth against which
they are evaluated is seldom questioned. In this paper, we present a systematic
analysis of available public (and additionally our private) ground truth for
anomaly detection in the context of network environments, where data is
intrinsically …

anomaly anomaly detection arxiv datasets detection evidence network popular