Análisis de Reportes de Seguridad Sobre Plataformas LCMS de Tipo Open Source Aplicando Minería de Datos

Published in: Innovation and Development for the Americas: Engineering, Education, Research and Development: Proceedings of the 8th Latin American and Caribbean Conference for Engineering and Technology
Date of Conference: June 1-4, 2010
Location of Conference: Arequipa, Peru
Authors: Diana Paola Castañeda Talero
Paulo Alonso Gaona García
José Luis Rodríguez Reyes
Refereed Paper: #136

Abstract

Are broad domains on which data mining allows a thorough analysis of information. Databases such as those run by the developers and managers of the LCMS (Learning Content Management System) Open Source Platforms, generate large volumes of information, which is extremely valuable in reporting vulnerabilities and weaknesses in the platform, to define lines of action for any corrections, but also generate a high consumption of time to achieve the most representative place according to the impact degree of each. This article presents the results of the information’s analysis contained in the Moodle Tracker tool database, responsible for handling reports of the LCMS Moodle, using as support the toolkit WEKA data mining, to classify and group potential vulnerabilities within it.