46 search results - page 1 / 10 » Data fusion algorithms for network anomaly detection: classi... |
ICNS
2007
IEEE
13 years 11 months ago
2007
IEEE
In this paper, the problem of discovering anomalies in a large-scale network based on the data fusion of heterogeneous monitors is considered. We present a classification of anoma...
SAC
2004
ACM
13 years 10 months ago
2004
ACM
In our present work we introduce the use of data fusion in the field of DoS anomaly detection. We present DempsterShafer’s Theory of Evidence (D-S) as the mathematical foundati...
CIA
2008
Springer
13 years 6 months ago
2008
Springer
Abstract. We present a method that improves the results of network intrusion detection by integration of several anomaly detection algorithms through trust and reputation models. O...
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 ...
ISDA
2010
IEEE
13 years 2 months ago
2010
IEEE
A genetic algorithm is combined with two variants of the modularity (Q) network analysis metric to examine a substantial amount fisheries catch data. The data set produces one of t...