145 search results - page 1 / 29 » Unsupervised Anomaly Detection in Network Intrusion Detectio... |
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...
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 ...
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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 ...
ADBIS
2006
Springer
13 years 10 months ago
2006
Springer
The anomaly detection problem has important applications in the field of fraud detection, network robustness analysis and intrusion detection. This paper is concerned with the prob...
ICIAP
2005
ACM
14 years 4 months ago
2005
ACM
The continuous evolution of the attacks against computer networks has given renewed strength to research on anomaly based Intrusion Detection Systems, capable of automatically dete...