Anomalous Payload-Based Network Intrusion Detection

  title={Anomalous Payload-Based Network Intrusion Detection},
  author={Ke Wang and Salvatore J. Stolfo},
We present a payload-based anomaly detector, we call PAYL, for intrusion detection. PAYL models the normal application payload of network traffic in a fully automatic, unsupervised and very effecient fashion. We first compute during a training phase a profile byte frequency distribution and their standard deviation of the application payload flowing to a single host and port. We then use Mahalanobis distance during the detection phase to calculate the similarity of new data against the pre… CONTINUE READING
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