A Large Deviations Approach to Statistical Traffic Anomaly Detection

  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},
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

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