State of the Art: Content-based and Hybrid Phishing Detection
Cryptography and Security
2021-02-01 v1 Machine Learning
Abstract
Phishing attacks have evolved and increased over time and, for this reason, the task of distinguishing between a legitimate site and a phishing site is more and more difficult, fooling even the most expert users. The main proposals focused on addressing this problem can be divided into four approaches: List-based, URL based, content-based, and hybrid. In this state of the art, the most recent techniques using web content-based and hybrid approaches for Phishing Detection are reviewed and compared.
Cite
@article{arxiv.2101.12723,
title = {State of the Art: Content-based and Hybrid Phishing Detection},
author = {F. Castaño and E. Fidalgo and E. Alegre and D. Chaves and M. Sanchez-Paniagua},
journal= {arXiv preprint arXiv:2101.12723},
year = {2021}
}
Comments
6 pages, 1 table