145 search results - page 2 / 29 » Unsupervised Anomaly Detection in Network Intrusion Detectio... |
SAC
2004
ACM
13 years 10 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...
ECBS
2007
IEEE
13 years 6 months ago
2007
IEEE
Machine learning has great utility within the context of network intrusion detection systems. In this paper, a behavior analysis-based learning framework for host level network in...
CANS
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. In this paper, we propose a new unsupervised anomaly detection framework for detecting network intrusions online. The framework consists of new anomalousness metrics name...
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...
TJS
2010
13 years 3 months ago
2010
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...