lifelonglab/MCAD-CIC-3xN
MCAD-CIC-3xN Dataset Summary MCAD-CIC-3xN is a multi-source continual anomaly detection benchmark scenario for network intrusion detection. It combines three CIC-family source datasets into a 13-task continual-learning scenario: CIC-IDS2017-derived tasks; CIC-IDS2018-derived tasks; CIC-UNSW-NB15-derived tasks. Unlike a single-task-per-source construction, this benchmark provides multiple concept-grouped tasks per source dataset. It is intended to evaluate… See the full description on the dataset page: https://huggingface.co/datasets/lifelonglab/MCAD-CIC-3xN.
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