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CCS
2009
ACM
14 years 3 months ago
Active learning for network intrusion detection
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf...
RAID
2009
Springer
14 years 3 months ago
Protecting a Moving Target: Addressing Web Application Concept Drift
Because of the ad hoc nature of web applications, intrusion detection systems that leverage machine learning techniques are particularly well-suited for protecting websites. The re...
Federico Maggi, William K. Robertson, Christopher ...
ICDM
2008
IEEE
146views Data Mining» more  ICDM 2008»
14 years 3 months ago
Isolation Forest
Most existing model-based approaches to anomaly detection construct a profile of normal instances, then identify instances that do not conform to the normal profile as anomalies...
Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou
RAID
2007
Springer
14 years 2 months ago
Understanding Precision in Host Based Intrusion Detection
Abstract. Many host-based anomaly detection systems monitor process execution at the granularity of system calls. Other recently proposed schemes instead verify the destinations of...
Monirul I. Sharif, Kapil Singh, Jonathon T. Giffin...
ISPASS
2006
IEEE
14 years 2 months ago
Workload sanitation for performance evaluation
The performance of computer systems depends, among other things, on the workload. Performance evaluations are therefore often done using logs of workloads on current productions s...
Dror G. Feitelson, Dan Tsafrir