Open AccessAplicabilidade e Impactos quanto a Adoção de Modelos de Classificação como Mecanismos Anti-phishing.
Author(s) -
Mateus De Barros,
Carlo Da Silva,
Péricles De Miranda
Publication year - 2019
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/sbseg_estendido.2019.14003
Subject(s) - phishing , relevance (law) , computer science , personally identifiable information , internet privacy , computer security , world wide web , artificial intelligence , the internet , political science , law
Phishing websites are fake addresses that cheat the victims, passing by legitimate sites from banks or companies to obtain personal information without their consent. Looking to solve this problematic, several ways of defense were put into practice, among them the Machine Learning (ML). This article presents an study about ML utilization on malicious websites detection, reporting the methods used and concluding about their impact on precision and relevance.