A Study on Adversarial Sample Resistance and Defense Mechanism for Multimodal Learning-Based Phishing Website Detection

A Study on Adversarial Sample Resistance and Defense Mechanism for Multimodal Learning-Based Phishing Website Detection

Recent advancements in Artificial Intelligence (AI) have greatly impacted cybersecurity, particularly in detecting phishing websites. Traditional methods struggle to address evolving vulnerabilities, but research shows that Machine Learning (ML), Ensemble Learning (EL), and Deep Learning (DL) are ef...

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Bibliographic Details
Main Authors: Phan The Duy, Vo Quang Minh, Bui Tan Hai Dang, Ngo Duc Hoang Son, Nguyen Huu Quyen, Van-Hau Pham
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Multimodal
deep learning
machine learning
ensemble learning
phishing website detection
phishing domain
Online Access:https://ieeexplore.ieee.org/document/10620285/

Internet

https://ieeexplore.ieee.org/document/10620285/

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