Multimodal and Temporal Graph Fusion Framework for Advanced Phishing Website Detection
Phishing attacks are among the persistent threats that are dynamically evolving and demand advanced detection mechanisms to counter more sophisticated techniques. Traditional detection approaches are usually based on single-modal features or static analysis, failing to capture the complex, multi-fac...
Saved in:
| Main Authors: | S. Kavya, D. Sumathi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10976643/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Phish Fighter: Self Updating Machine Learning Shield Against Phishing Kits Based on HTML Code Analysis
by: Gabriela Brezeanu, et al.
Published: (2025-01-01) -
Multimodal Phishing Detection on Social Networking Sites: A Systematic Review
by: Tandin Wangchuk, et al.
Published: (2025-01-01) -
A State-of-the-Art Review on Phishing Website Detection Techniques
by: Wenhao Li, et al.
Published: (2024-01-01) -
Research of phishing detection technology
by: Xi ZHANG, et al.
Published: (2017-07-01) -
RSTHFS: A Rough Set Theory-Based Hybrid Feature Selection Method for Phishing Website Classification
by: Jahanggir Hossain Setu, et al.
Published: (2025-01-01)