73 search results - page 1 / 15 » An Unsupervised Clustering Algorithm for Intrusion Detection |
AI
2003
Springer
13 years 11 months ago
2003
Springer
ACSC
2005
IEEE
13 years 12 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 ...
SAC
2004
ACM
13 years 11 months ago
2004
ACM
With the continuous evolution of the types of attacks against computer networks, traditional intrusion detection systems, based on pattern matching and static signatures, are incr...
GECCO
2004
Springer
13 years 11 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...
CNSR
2004
IEEE
13 years 10 months ago
2004
IEEE
This paper presents a novel approach for detecting network intrusions based on a competitive learning neural network. In the paper, the performance of this approach is compared to...