A curated dataset for network traffic anomaly detection, derived from the BCCC-CSE-CIC-IDS2018 intrusion detection dataset, which itself is an enhanced version of CSE-CIC-IDS2018This dataset is restructured for modern machine learning and deep learning research on network security and intrusion detection.
[!IMPORTANT]The raw dataset (~90GB) was fragmented across 34 .csv files. To optimize for ML workflows, the data was merged and compressed into… See the full description on the dataset page:
https://huggingface.co/datasets/init5iv3/network-traffic-detection.