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Preprocessing Information from a Data Network for the Detection of User Behavior Patterns
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Preprocessing Information from a Data Network for the Detection of User Behavior Patterns
Journal
Advances in Intelligent Systems and Computing
Date Issued
2020
Author(s)
Hidalgo-Guijarro J.
Yandún-Velasteguí M.
Bolaños-Tobar D.
Borja Galeas, Carlos
Facultad de Ciencias Económicas, Administrativas y Negocios
Guevara Maldonado, César Byron
Centro de investigación en Mecatrónica y Sistemas Interactivos
Varela Aldas, José
Centro de Investigación de Ciencias Humanas y de la Educación
Castillo Salazar, David Ricardo
Facultad de Ciencias de la Educación
Arias Flores, Hugo Patricio
Centro de investigación en Mecatrónica y Sistemas Interactivos
Fierro-Saltos W.
Rivera R.
Type
Conference Paper
DOI
10.1007/978-3-030-27928-8_101
URL
https://cris.indoamerica.edu.ec/handle/123456789/8929
Abstract
This study focuses on the preprocessing of information for the selection of the most significant characteristics of a network traffic database, recovered from an Ecuadorian institution, using a method of classifying optimal entities and attributes, with the In order to achieve a complete understanding of its real composition to be able to generate patterns and identification of trends of behavior in the network, both of patterns that deviate from normal traffic behavior (intrusive), as well as normal, to detect with high precision possible attacks. Network management tools were used as a multifunctional security server software, as well as pre-processing of data tools for the selection of attributes, as well as the elimination of noise from the instances of the database, It allowed to identify which ins- tances and attributes are correct and contribute with effective information in the study. Among them we have: Greedy Stepwise Algorithm (Algoritmo Voráz), K-Means Algorithm, Discrete Chi-square Attributes and the use of computational models as Evolutionary Neural Networks and Gene Algorithms. © Springer Nature Switzerland AG 2020.
Subjects
Additive manufacturin...
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