ZYELL-NCTU NetTraffic-1.0: A Large-Scale Dataset for Real-World Network Anomaly Detection

@article{Chen2021ZYELLNCTUNA,
  title={ZYELL-NCTU NetTraffic-1.0: A Large-Scale Dataset for Real-World Network Anomaly Detection},
  author={Lei Chen and Shao-En Weng and Chu-Jun Peng and Hong-Han Shuai and Wen-Huang Cheng},
  journal={2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)},
  year={2021},
  pages={1-2}
}
Network security has been an active research topic for long. One critical issue is improving the anomaly detection capability of intrusion detection systems (IDSs), such as firewalls. However, existing network anomaly datasets are out of date (i.e., being collected many years ago) or IP-anonymized, making the data characteristics differ from today’s network. Therefore, this work introduces a new, large-scale, and real-world dataset, ZYELL-NCTU NetTraffic-1.0, which is collected from the raw… 

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