Please use this identifier to cite or link to this item:
https://hdl.handle.net/2445/171956
Title: | Email fraud classifier using machine learning |
Author: | Carvalho, Vitor |
Director/Tutor: | José Bazán, Jordi |
Keywords: | Correu electrònic Seguretat informàtica Programari Treballs de fi de grau Aprenentatge automàtic Xarxes neuronals (Informàtica) Tractament del llenguatge natural (Informàtica) Sistemes classificadors (Intel·ligència artificial) Electronic mail systems Computer security Computer software Machine learning Neural networks (Computer science) Bachelor's theses Natural language processing (Computer science) Learning classifier systems |
Issue Date: | 13-Sep-2020 |
Abstract: | [en] Email is one of the most common methods of communication nowadays. Programs known as malware detection are essential to assist and protect users from the agents that are usually responsible for cyberattacks. This paper focuses on using machine learning algorithms to detect any possible email attacks by analyzing datasets of whitelists and blacklists. This document also includes other methods that try to solve this problem. |
Note: | Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2020, Director: Jordi José Bazán |
URI: | https://hdl.handle.net/2445/171956 |
Appears in Collections: | Programari - Treballs de l'alumnat Treballs Finals de Grau (TFG) - Enginyeria Informàtica |
Files in This Item:
File | Description | Size | Format | |
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codi_font_171956.zip | Codi font | 12.74 MB | zip | View/Open |
memoria_171956.pdf | Memòria | 915.8 kB | Adobe PDF | View/Open |
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