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Abstract: Traditional intrusion detection systems (IDSs) focus on low-level attacks or anomalies, and raise alerts independently, though there may be logical connections between them. In situations where there are intensive intrusions, not only will actual alerts be mixed with false alerts, but the amount of alerts will also become unmanageable. As a result, it is difficult for human users or intrusion response systems to understand the alerts and take appropriate actions. (Update)
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BibTeX entry: (Update)
P. Ning, Y. Cui, and D. S. Reeves. Analyzing intensive intrusion alerts via correlation. In Proc. of the 5th Int'l Symposium on Recent Advances in Intrusion Detection (RAID 2002. http://citeseer.ist.psu.edu/article/ning02analyzing.html More
@misc{ ning02analyzing,
author = "P. Ning and Y. Cui and D. Reeves",
title = "Analyzing intensive intrusion alerts via correlation",
text = "P. Ning, Y. Cui, and D. S. Reeves. Analyzing intensive intrusion alerts
via correlation. In Proc. of the 5th Int'l Symposium on Recent Advances
in Intrusion Detection (RAID 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/article/ning02analyzing.html" }
Citations (may not include all citations):105 State transition analysis: A rule-based intrusion detection .. - Ilgun, Kemmerer et al. - 1995
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13 A data mining analysis of RTID alarms (context) - Manganaris, Christensen et al. - 2000
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8 Abstraction-based intrusion detection in distributed environ.. - Ning, Jajodia et al. - 2001
6 An intrusion alert correlator based on prerequisites of intr.. - Ning, Cui - 2002
4 Correlating alerts using prerequisites of intrusions - Ning, Reeves et al. - 2001
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