Phish-IRIS: A New Approach for Vision Based Brand Prediction of Phishing Web Pages via Compact Visual Descriptors
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8543123/8566679/08567299.pdf?arnumber=8567299
Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Position Paper: Think Globally, React Locally — Bringing Real-Time Reference-Based Website Phishing Detection on macOS;2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW);2024-07-08
2. APIMiner: Identifying Web Application APIs Based on Web Page States Similarity Analysis;Electronics;2024-03-18
3. Vision GNN Based Phishing Website Detection;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14
4. Detecting Targeted Phishing Websites for Brand Protection and Cyber Defence Using Computer Vision;2023 IEEE International Workshop on Technologies for Defense and Security (TechDefense);2023-11-20
5. State-Sensitive Black-Box Web Application Scanning for Cross-Site Scripting Vulnerability Detection;Applied Sciences;2023-08-13
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