Graph-based phishing detection: URLGBM model driven by machine learning
Author:
Affiliation:
1. LAROSERI, Department of Computer Science, University of Chouaib Doukkali, EL Jadida, Morocco
2. Faculty of Sciences, Mohammed V University in Rabat, Rabat, Morocco
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/1206212X.2024.2342710
Reference46 articles.
1. Chang EH Chiew KL Tiong WK et al. Phishing detection via identification of website identity. In: 2013 International Conference on IT Convergence and Security (ICITCS). 2013:1–4.
2. GoldPhish: Using Images for Content-Based Phishing Analysis
3. Huh JH Kim H. Phishing detection with popular search engines: Simple and effective. In: International Symposium on Foundations and Practice of Security. 2011:194–207.
4. An efficacious method for detecting phishing webpages through target domain identification
5. Intelligent phishing detection system for e-banking using fuzzy data mining
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