Listar por tema "IDS"
Mostrando ítems 1-4 de 4
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ESTUDIO COMPARATIVO DE TÉCNICAS DE ENTRENAMIENTO Y CLASIFICACIÓN EN SISTEMAS DE DETECCIÓN DE INSTRUSOS (IDS), BASADOS EN ANOMALIAS DE RED.
(Maestría en Ingeniería (Énfasis en Redes y Software), 2016-12-14)The main motivation of this investigation was the implementation of the Draper method applied to intrusion detection systems in different training and classification techniques in order to identify the best intrusion ... -
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 ... -
Neural networks as tool to improve the intrusion detection system
(International Conference on Computer Information Systems and Industrial Management CISIM 2021: Computer Information Systems and Industrial Management, 2021-09-17)Nowadays, computer programs affecting computers both locally and network-wide have led to the design and development of different preventive and corrective strategies to remedy computer security problems. This dynamic has ... -
PCA filtering and probabilistic SOM for network intrusion detection
(Neurocomputing, 2015)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 ...