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Abstract: Lately, many approaches have been developed to discover computer abuse. Some of them use data mining techniques to discover anomalous behavior in audit trail, considering this behavior as an intrusive one. This paper discusses a temporal knowledge representation of users' behavior that is used by data mining tools to construct behavior patterns. These are used to decide whether current behavior follows a certain normal pattern or differs from all known users' behavior patterns. The... (Update)
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BibTeX entry: (Update)
Seleznyov, A. and Puuronen, S. (1999). Anomaly Intrusion Detection Systems: Handling Temporal Relations between Events. Web proceedings of the 2nd International Workshop on Recent Advances in Intrusion Detection (RAID'99), http://www.raidsymposium. org/raid99. http://citeseer.ist.psu.edu/seleznyov99anomaly.html More
@inproceedings{ seleznyov99anomaly,
author = "Alexandr Seleznyov and Seppo Puuronen",
title = "Anomaly Intrusion Detection Systems: Handling Temporal Relations Between Events",
booktitle = "Recent Advances in Intrusion Detection",
year = "1999",
url = "citeseer.ist.psu.edu/seleznyov99anomaly.html" }
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