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» Using CLIPS to Detect Network Intrusions
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AI
2008
Springer
14 years 2 months ago
Using Unsupervised Learning for Network Alert Correlation
Alert correlation systems are post-processing modules that enable intrusion analysts to find important alerts and filter false positives efficiently from the output of Intrusion...
Reuben Smith, Nathalie Japkowicz, Maxwell Dondo, P...
DFN
2009
13 years 8 months ago
Interactive Analysis of NetFlows for Misuse Detection in Large IP Networks
: While more and more applications require higher network bandwidth, there is also a tendency that large portions of this bandwidth are misused for dubious purposes, such as unauth...
Florian Mansmann, Fabian Fischer, Daniel A. Keim, ...
ACSAC
2009
IEEE
14 years 2 months ago
An Empirical Approach to Modeling Uncertainty in Intrusion Analysis
: © An Empirical Approach to Modeling Uncertainty in Intrusion Analysis Xinming Ou, Siva Raj Rajagopalan, Sakthiyuvaraja Sakthivelmurugan HP Laboratories HPL-2009-334 intrusion de...
Xinming Ou, Siva Raj Rajagopalan, Sakthiyuvaraja S...
RAID
1999
Springer
13 years 12 months ago
Combining Knowledge Discovery and Knowledge Engineering to Build IDSs
We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...
Wenke Lee, Salvatore J. Stolfo
ACMSE
2008
ACM
13 years 9 months ago
A distributed firewall and active response architecture providing preemptive protection
Firewalls provide very good network security features. However, classical perimeter firewall deployments suffer from limitations due to complex network topologies and the inabilit...
J. Lane Thames, Randal Abler, David Keeling