772 search results - page 1 / 155 » Network Intrusion Detection Using Genetic Clustering |
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...
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 ...
ICNC
2005
Springer
13 years 10 months ago
2005
Springer
The DARPA/MIT Lincoln Laboratory off-line intrusion detection evaluation data set is the most widely used public benchmark for testing intrusion detection systems. But the presence...
ADHOCNETS
2009
Springer
13 years 9 months ago
2009
Springer
Mobile ad hoc networks (MANETs) are a highly promising new form of networking. However they are more vulnerable to attacks than wired networks. In addition, conventional intrusion ...
CNSR
2004
IEEE
13 years 8 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...