Web architecture for URL-based phishing detection based on Random Forest, Classification Trees, and Support Vector Machine

Web architecture for URL-based phishing detection based on Random Forest, Classification Trees, and Support Vector Machine

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Nowadays phishing is as serious a problem as any other, but it has intensified a lot in the current coronavirus pandemic, a time when more than ever we all use the Internet even to make payments daily. In this context, tools have been developed to detect phishing, there are quite complex tools in a...

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Bibliographic Details
Main Authors: Julio Lamas Piñeiro, Lenis Wong Portillo
Format: Article
Language:English
Published: Asociación Española para la Inteligencia Artificial 2022-05-01
Series:Inteligencia Artificial
Subjects:
Phishing detection
Random Forest
Support Vector Machine
Machine Learning
Classification Trees
Online Access:https://www.journal.iberamia.org/index.php/intartif/article/view/750

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https://www.journal.iberamia.org/index.php/intartif/article/view/750

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