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http://hdl.handle.net/10609/97009
Title: | Técnicas de machine learning aplicadas a la seguridad |
Author: | Cuenca Guachamin, Walter Rene |
Director: | Hernández Jiménez, Enric |
Tutor: | Garcia-Font, Victor |
Abstract: | The problem of misinformation is a problem that has always existed but has increased due to technological growth and the emergence of various ways of communicating information on the Internet, for example, blogs or social networks. Paying attention to social networks this has led to the appearance of bots with the aim of spreading misinformation with a certain objective. With this in mind, the project focuses on performing an analysis that allows generating a Machine Learning model capable of detecting fake content or bots in social networks. Therefore, it has been selected as a methodology CRISP-DM due to its great use in this type of projects. |
Keywords: | machine learning data analysis information security |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | Jun-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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wcuencaTFM0619memoria.pdf | Memoria del TFM | 3,13 MB | Adobe PDF | View/Open |
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