Phishing Detection Leveraging Machine Learning and Deep Learning: A Review

被引：11

作者：

Divakaran, Dinil Mon ^{[1
]}

Oest, Adam ^{[2
]}

机构：

[1] Trustwave, Chicago, IL 60602 USA

[2] PayPal, Scottsdale, AZ 85258 USA

来源：

IEEE SECURITY & PRIVACY | 2022年 / 20卷 / 05期

关键词：

Phishing; Uniform resource locators; Data models; Feature extraction; Biological system modeling; Blocklists; Training;

D O I：

10.1109/MSEC.2022.3175225

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Phishing attacks trick victims into disclosing sensitive information. To counter them, we explore machine learning and deep learning models leveraging large-scale data. We discuss models built on different kinds of data and present multiple deployment options to detect phishing attacks. © 2003-2012 IEEE.

引用

页码：86 / 95

页数：10

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