Email fraud classifier using machine learning

José Bazán, JordiCarvalho, Vitor2020-11-112020-11-112020-09-13https://hdl.handle.net/2445/171956Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2020, Director: Jordi José Bazán[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.45 p.application/pdfengmemòria: cc-nc-nd (c) Vitor Carvalho, 2020codi: GPL (c) Vitor Carvalho, 2020http://creativecommons.org/licenses/by-nc-nd/3.0/es/http://www.gnu.org/licenses/gpl-3.0.ca.htmlCorreu electrònicSeguretat informàticaProgramariTreballs de fi de grauAprenentatge automàticXarxes neuronals (Informàtica)Tractament del llenguatge natural (Informàtica)Sistemes classificadors (Intel·ligència artificial)Electronic mail systemsComputer securityComputer softwareMachine learningNeural networks (Computer science)Bachelor's thesesNatural language processing (Computer science)Learning classifier systemsEmail fraud classifier using machine learninginfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/openAccess