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An Intrusion-Detection System Based on the Teiresias Pattern Discovery Algorithm (1999)  (Make Corrections)  (8 citations)
Andreas Wespi, Marc Dacier, Hervé Debar



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Abstract: This paper addresses the problem of creating a pattern table that can be used to model the normal behavior of a given process. The model can be used for intrusiondetection purposes. So far, most of the approaches proposed have been based on fixed-length patterns, although variable-length patterns seem to be more naturally suited to model the normal process behavior. We have developed a novel technique to build tables of variable-length patterns. This technique is based on Teiresias, an... (Update)

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BibTeX entry:   (Update)

Wespi, A., Dacier, M., and Debar, H. (1999a). An Intrusion-Detection System Based on the Teiresias Pattern-Discovery Algorithm. Technical Report RZ3103, Zurich Research Laboratory, IBM Research Division. http://citeseer.ist.psu.edu/wespi99intrusiondetection.html   More

@misc{ wespi-intrusiondetection,
  author = "A. Wespi and M. Dacier and H. Debar",
  title = "An Intrusion-Detection System Based on the Teiresias Pattern-Discovery
    Algorithm",
  text = "Wespi, A., Dacier, M., and Debar, H. (1999a). An Intrusion-Detection System
    Based on the Teiresias Pattern-Discovery Algorithm. Technical Report RZ3103,
    Zurich Research Laboratory, IBM Research Division.",
  url = "citeseer.ist.psu.edu/wespi99intrusiondetection.html" }
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