Please use this identifier to cite or link to this item: http://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 thesis
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: http://hdl.handle.net/2445/171956
Appears in Collections:Treballs Finals de Grau (TFG) - Enginyeria Informàtica
Programari - Treballs de l'alumnat

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