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Abstract: In response to attacks against enterprise networks,administrators increasingly deploy intrusion detection systems. These systems monitor hosts,networks,and other resources for signs of security violations.The use of intrusion detection has given rise to another difficult problem,namely the handling of a generally large number of alarms.In this paper,we mine historical alarms to learn how future alarms can be handled more efficiently.First,we investigate episode rules with respect to their... (Update)
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BibTeX entry: (Update)
K. Julisch and M. Dacier, "Mining Intrusion Detection Alarms for Actionable Knowledge," Proc. 8th ACM International Conference on Knowledge Discovery and Data Mining, Edmonton, July 2002. http://citeseer.ist.psu.edu/julisch02mining.html More
@misc{ julisch02mining,
author = "K. Julisch and M. Dacier",
title = "Mining Intrusion Detection Alarms for Actionable Knowledge",
text = "K. Julisch and M. Dacier, Mining Intrusion Detection Alarms for Actionable
Knowledge, Proc. 8th ACM International Conference on Knowledge Discovery
and Data Mining, Edmonton, July 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/julisch02mining.html" }
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