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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 ...
Bayesian Classifiers in Intrusion Detection Systems
(Universidad de la Costa, 2020)
To be able to identify computer attacks, detection systems that are based on faults are not dependent on data base upgrades unlike the ones based on misuse. The first type of systems mentioned generate a knowledge pattern ...