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» Combined Data Mining Approach for Intrusion Detection
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CCS
2010
ACM
13 years 8 months ago
Dialog-based payload aggregation for intrusion detection
Network-based Intrusion Detection Systems (IDSs) such as Snort or Bro that have to analyze the packet payload for all the received data show severe performance problems if used in...
Tobias Limmer, Falko Dressler
ACSAC
2001
IEEE
14 years 9 days ago
Mining Alarm Clusters to Improve Alarm Handling Efficiency
It is a well-known problem that intrusion detection systems overload their human operators by triggering thousands of alarms per day. As a matter of fact, we have been asked by on...
Klaus Julisch
ICDM
2003
IEEE
138views Data Mining» more  ICDM 2003»
14 years 1 months ago
PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets
PixelMaps are a new pixel-oriented visual data mining technique for large spatial datasets. They combine kerneldensity-based clustering with pixel-oriented displays to emphasize c...
Daniel A. Keim, Christian Panse, Mike Sips, Stephe...
CN
2000
95views more  CN 2000»
13 years 8 months ago
The 1999 DARPA off-line intrusion detection evaluation
Abstract. Eight sites participated in the second DARPA off-line intrusion detection evaluation in 1999. A test bed generated live background traffic similar to that on a government...
Richard Lippmann, Joshua W. Haines, David J. Fried...
ICAPR
2005
Springer
14 years 2 months ago
GP Ensemble for Distributed Intrusion Detection Systems
In this paper an intrusion detection algorithm based on GP ensembles is proposed. The algorithm runs on a distributed hybrid multiisland model-based environment to monitor security...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...