Phishing Detection
Phishing Detection is a cybersecurity methodology that identifies deceptive electronic communications by analyzing behavioral, syntactic, and semantic indicators to distinguish malicious phishing attempts from legitimate messages.
1.2K
Publications
72K
Citations
3K
Authors
999
Institutions
Publications per year
2017–2026
750
1.2K
Rachna Dhamija, J. D. Tygar, Marti A. Hearst · 2006 · 1.3K citations
Machine learning based phishing detection from URLs
Özgür Koray Şahingöz, Ebubekir Buber, Önder Demir et al. · Expert Systems with Applications · 2018 · 795 citations · Full text
Zhang Yue, Jason Hong, Lorrie Faith Cranor · 2007 · 743 citations
Serge Egelman, Lorrie Faith Cranor, Jason Hong · 2008 · 610 citations
Steve Sheng, Mandy B. Holbrook, Ponnurangam Kumaraguru et al. · 2010 · 606 citations
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National Institute of Technology Karnataka, India
15 publications · 1.2K citations
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Carnegie Mellon University
Pittsburgh, United States
24 h-index
86 publications
22.7K citations
National Institute of Technology Kurukshetra
Kurukshetra, India
18 h-index
48 publications
5.6K citations

City University of Hong Kong
Hong Kong, Hong Kong
17 h-index
42 publications
4.7K citations
Northumbria University
Newcastle upon Tyne, United Kingdom
13 h-index
34 publications
2.3K citations

University of Alabama at Birmingham
Birmingham, United States
13 h-index
44 publications
2.4K citations

National Institute of Technology Karnataka
Mangaluru, India
12 h-index
25 publications
2.1K citations

King Saud University
Riyadh, Saudi Arabia
12 h-index
28 publications
2.1K citations
Princess Sumaya University for Technology
Amman, Jordan
12 h-index
24 publications
790 citations
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37 publications · 3.4K citations
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36 publications · 2.5K citations
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20 publications · 2.8K citations
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Repository · 26 publications · 591 citations
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15 publications · 842 citations
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