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Document type

Bachelor thesis

Publication date

2020-09-13

Publication license

memòria: cc-nc-nd (c) Vitor Carvalho, 2020
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/171956

Email fraud classifier using machine learning

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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.

Description

Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2020, Director: Jordi José Bazán

Subject

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)

Subject (English)

Electronic mail systems, Computer security, Computer software, Machine learning, Neural networks (Computer science), Bachelor's theses, Natural language processing (Computer science), Learning classifier systems

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Treballs Finals de Grau (TFG) - Enginyeria Informàtica
Programari - Treballs de l'alumnat

Citation

CARVALHO, Vitor. Email fraud classifier using machine learning. [consulted: 17 of August of 2026]. Available at: https://hdl.handle.net/2445/171956

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