Listar por autor "De la Hoz Correa, Eduardo"
Mostrando ítems 1-3 de 3
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Feature selection by multi-objective optimization: application to network anomaly detection by hierarchical self-organizing maps.
De la Hoz Franco, Emiro; De la Hoz Correa, Eduardo; Ortiz-García, Andrés
; Ortega, Julio; Martínez-Álvarez, Antonio (Elsevier, 2014-08-20)
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
De la Hoz Franco, Emiro; Ortiz-García, Andrés; Ortega, Julio; De la Hoz Correa, Eduardo (Springer, 2013-09)
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 ports ... -
PCA filtering and Probabilistic SOM for Network Intrusion Detection.
De la Hoz Correa, Eduardo; De la Hoz Franco, Emiro; Ortiz-García, Andrés; Ortega, Julio; Prieto, Beatriz (Elsevier, 2015-09-21)
The growth of the Internet and, consequently, the number of interconnected computers, has exposed significant amounts of information to intruders and attackers. Firewalls aim to detect violations according to a predefined ...