lifelonglab/CAD-CICIDS2017
CAD-CICIDS2017 Dataset Summary CAD-CICIDS2017 is a single-source continual anomaly detection benchmark scenario for network intrusion detection. It is derived from CIC-IDS2017 and converts the original tabular network-intrusion data into a sequence of concept-grouped tasks. The dataset contains 2,076,848 samples, 6 tasks, and has a reported 18.77% anomaly ratio in the test set. Intended Use This dataset is intended for research on: continual… See the full description on the dataset page: https://huggingface.co/datasets/lifelonglab/CAD-CICIDS2017.
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