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Feature selection by multi-objective optimisation: application to network anomaly detection by hierarchical self-organising maps
(Universidad de la Costa, 2014-08-11)
Feature selection is an important and active issue in clustering and classification problems. By choosing an adequate feature subset, a dataset dimensionality reduction is allowed, thus contributing to decreasing the ...
Network anomaly classification by support vector classifiers ensemble and non-linear projection techniques
(Universidad De La Costa, 2013-09-11)
Network anomaly detection is currently a challenge due to the number of different attacks
and the number of potential attackers. Intrusion detection systems aim to detect misuses
or network anomalies in order to block ...