Phishing Detection Leveraging Machine Learning and Deep Learning: A Review

May 16, 2022 ยท The Cartographer ยท ๐Ÿ› IEEE Security and Privacy

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: Phishing Detection Leveraging Machine Learning and Deep Learning: A Review"

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Authors Dinil Mon Divakaran, Adam Oest arXiv ID 2205.07411 Category cs.CR: Cryptography & Security Citations 29 Venue IEEE Security and Privacy Last Checked 2 days ago
Abstract
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.
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