Optimizing flow sampling for network anomaly detection

  title={Optimizing flow sampling for network anomaly detection},
  author={Karel Bartos and Martin Reh{\'a}k and Vojtech Krmicek},
  journal={2011 7th International Wireless Communications and Mobile Computing Conference},
Sampling techniques are widely employed in high-speed network traffic monitoring to allow the analysis of high traffic volumes with limited resources. Sampling has measurable negative impact on the accuracy of network anomaly detection methods. In our work, we build an integrated model which puts the sampling into the context of the anomaly detection used in the subsequent processing. Using this model, we show that it is possible to perform very efficient sampling with limited impact on traffic… CONTINUE READING


Publications referenced by this paper.
Showing 1-10 of 14 references

Similar Papers

Loading similar papers…