Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/107027
Title: | Control de fuga de datos en la plataforma de contenido Twitter |
Author: | García Alonso, Alfonso |
Director: | Rifà-Pous, Helena |
Tutor: | Guijarro, Jordi |
Abstract: | This paper addresses the creation of a module for AIL framework, a platform that analyses potential information leaks, that allows to monitor the content published in the social network Twitter either within a certain period of time or in real time, in addition to performing a sentiment and statistical analysis of the publications collected. The module developed achieves the objectives, integrating completely into the AIL platform and can be useful for security incident response teams and, in general, for any person or entity interested in monitoring possible leaks on Twitter or in performing analysis of the publications made in the social network. |
Keywords: | leak detection data mining sentiment analysis |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 15-Dec-2019 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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agalonsoTFM1219memoria.pdf | Memoria del TFM | 2,15 MB | Adobe PDF | View/Open |
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