31 search results - page 1 / 7 » Detecting Network Anomalies Using CUSUM and EM Clustering |
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 ...
CN
2007
13 years 4 months ago
2007
With the ever increasing deployment and usage of gigabit networks, traditional network anomaly detection based Intrusion Detection Systems (IDS) have not scaled accordingly. Most,...
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 ...
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...
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...