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» Intrusion Detection Based on Data Mining
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SP
1999
IEEE
184views Security Privacy» more  SP 1999»
15 years 4 months ago
A Data Mining Framework for Building Intrusion Detection Models
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
ICCS
2007
Springer
15 years 5 months ago
DDDAS/ITR: A Data Mining and Exploration Middleware for Grid and Distributed Computing
We describe our project that marries data mining together with Grid computing. Specifically, we focus on one data mining application - the Minnesota Intrusion Detection System (MIN...
Jon B. Weissman, Vipin Kumar, Varun Chandola, Eric...
ACSAC
2003
IEEE
15 years 5 months ago
Log Correlation for Intrusion Detection: A Proof of Concept
Intrusion detection is an important part of networkedsystems security protection. Although commercial products exist, finding intrusions has proven to be a difficult task with l...
Cristina Abad, Jed Taylor, Cigdem Sengul, William ...
ACSAC
1998
IEEE
15 years 4 months ago
NetSTAT: A Network-Based Intrusion Detection Approach
Network-based attacks have become common and sophisticated. For this reason, intrusion detection systems are now shifting their focus from the hosts and their operating systems to...
Giovanni Vigna, Richard A. Kemmerer
ICDM
2005
IEEE
187views Data Mining» more  ICDM 2005»
15 years 5 months ago
Parallel Algorithms for Distance-Based and Density-Based Outliers
An outlier is an observation that deviates so much from other observations as to arouse suspicion that it was generated by a different mechanism. Outlier detection has many applic...
Elio Lozano, Edgar Acuña