A Deep Learning-Based Framework for Phishing Website Detection
Phishing attackers spread phishing links through e-mail, text messages, and social media platforms. They use social engineering skills to trick users into visiting phishing websites and entering crucial personal information. In the end, the stolen personal information is used to defraud the trust of...
Main Authors: | Lizhen Tang, Qusay H. Mahmoud |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9661323/ |
Similar Items
-
A Survey of Machine Learning-Based Solutions for Phishing Website Detection
by: Lizhen Tang, et al.
Published: (2021-08-01) -
Phishing-Alarm: Robust and Efficient Phishing Detection via Page Component Similarity
by: Jian Mao, et al.
Published: (2017-01-01) -
A systematic literature review on phishing website detection techniques
by: Asadullah Safi, et al.
Published: (2023-02-01) -
Phishing-Inspector: Detection & Prevention of Phishing Websites
by: Doke Tanmay, et al.
Published: (2020-01-01) -
Phishing Website Detection Using Machine Learning: A Review
by: marwa al saedi, et al.
Published: (2023-06-01)