CAD-CICIDS2018 is a single-source continual anomaly detection benchmark scenario for network intrusion detection. It is derived from CSE-CIC-IDS2018 and converts the original tabular network-intrusion data into a sequence of concept-grouped tasks.
The dataset contains 2,590,771 samples, 5 tasks, and has a reported 28.04% anomaly ratio in the test set.
The dataset is anonymized for double-blind NeurIPS review. Author names, institutional… See the full description on the dataset page: https://huggingface.co/datasets/anonymizeddb/CAD-CICIDS2018.
