Application of word embedding and machine learning in detecting phishing websites
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DOI: 10.1007/s11235-021-00850-6
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References listed on IDEAS
- Shan Wang & Sulaiman Khan & Chuyi Xu & Shah Nazir & Abdul Hafeez, 2020. "Deep Learning-Based Efficient Model Development for Phishing Detection Using Random Forest and BLSTM Classifiers," Complexity, Hindawi, vol. 2020, pages 1-7, September.
- Abdul Basit & Maham Zafar & Xuan Liu & Abdul Rehman Javed & Zunera Jalil & Kashif Kifayat, 2021. "A comprehensive survey of AI-enabled phishing attacks detection techniques," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 76(1), pages 139-154, January.
- Li Xu & Zhenxin Zhan & Shouhuai Xu & Keying Ye & Keesook Han & Frank Born, 2013. "Cross-Layer Detection of Malicious Websites," Working Papers 0150mss, College of Business, University of Texas at San Antonio.
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Keywords
URL; Phishing; Anti-phishing; TF-IDF; Hostname; Random forest;All these keywords.
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