The evaluation of Network Anomaly Detection Systems: Statistical analysis of the UNSW-NB15 data set and the comparison with the KDD99 data set

@article{Moustafa2016TheEO,
  title={The evaluation of Network Anomaly Detection Systems: Statistical analysis of the UNSW-NB15 data set and the comparison with the KDD99 data set},
  author={Nour Moustafa and Jill Slay},
  journal={Information Security Journal: A Global Perspective},
  year={2016},
  volume={25},
  pages={18-31}
}
Over the last three decades, Network Intrusion Detection Systems (NIDSs), particularly, Anomaly Detection Systems (ADSs), have become more significant in detecting novel attacks than Signature Detection Systems (SDSs). Evaluating NIDSs using the existing benchmark data sets of KDD99 and NSLKDD does not reflect satisfactory results, due to three major issues: (1) their lack of modern low footprint attack styles, (2) their lack of modern normal traffic scenarios, and (3) a different distribution… CONTINUE READING
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