51 search results - page 1 / 11 » On Detecting Clustered Anomalies Using SCiForest |
PKDD
2010
Springer
13 years 2 months ago
2010
Springer
Detecting local clustered anomalies is an intricate problem for many existing anomaly detection methods. Distance-based and density-based methods are inherently restricted by their...
ICISC
2004
13 years 6 months ago
2004
Abstract. Anomaly detection, detection of deviations from what is considered normal, is an important complement to misuse detection based on attack signatures. Anomaly detection in...
ACSC
2005
IEEE
13 years 10 months ago
2005
IEEE
Most current network intrusion detection systems employ signature-based methods or data mining-based methods which rely on labelled training data. This training data is typically ...
ISICA
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Intrusion detection has been extensively studied in the last two decades. However, most existing intrusion detection techniques detect limited number of attack types and ...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. We apply the Unsupervised Niche Clustering (UNC), a genetic niching technique for robust and unsupervised clustering, to the intrusion detection problem. Using the normal...