Phishing attacks trick victims into disclosing sensitive information. To counter rapidly evolving attacks, we must explore machine learning and deep learning models leveraging large-scale data. We discuss models built on different kinds of data, along with their advantages and disadvantages, and present multiple deployment options to detect phishing attacks.
@article{arxiv.2205.07411,
title = {Phishing Detection Leveraging Machine Learning and Deep Learning: A Review},
author = {Dinil Mon Divakaran and Adam Oest},
journal= {arXiv preprint arXiv:2205.07411},
year = {2022}
}
Comments
Paper accepted for publication at IEEE Security & Privacy