Machine Learning-Enabled Attacks on Anti-Phishing Blacklists

Machine Learning-Enabled Attacks on Anti-Phishing Blacklists

The exponential rise of phishing attacks has become a critical threat to online security, exploiting both system vulnerabilities and human psychology. Although anti-phishing blacklists serve as a primary defense mechanism, they are limited by incomplete coverage and delayed updates, making them susc...

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Bibliographic Details
Main Authors: Wenhao Li, Shams Ul Arfeen Laghari, Selvakumar Manickam, Yung-Wey Chong, Binyong Li
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Anti-phishing blacklist
cloaking technique
evasion technique
machine learning
phishing website
phishing
Online Access:https://ieeexplore.ieee.org/document/10798104/

Internet

https://ieeexplore.ieee.org/document/10798104/

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