A Large Deviations Approach to Statistical Traffic Anomaly Detection

@article{Paschalidis2006ALD,
  title={A Large Deviations Approach to Statistical Traffic Anomaly Detection},
  author={Ioannis Ch. Paschalidis and Georgios Smaragdakis},
  journal={Proceedings of the 45th IEEE Conference on Decision and Control},
  year={2006},
  pages={1900-1905}
}
We introduce an Internet traffic anomaly detection mechanism based on large deviations asymptotic results. Using past traffic traces we characterize network traffic during various time-of-day intervals, assuming that it is anomaly-free. We present two different approaches to characterize traffic: (i) a model-free approach based on the method of types and Sanov's theorem, and (ii) a model-based approach modeling traffic using a Markov modulated process. Using these characterizations as a… CONTINUE READING

Figures, Tables, and Topics from this paper.

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…