Browser-based Phishing Detection
Browser-Based Phishing Detection is a computational method that identifies fraudulent websites by analyzing web content and behavior directly within the web browser environment to distinguish phishing pages from legitimate ones through real-time, client-side inspection mechanisms.
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2.5K
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120
Authors
51
Institutions
Publications per year
2017–2026
11
Parents
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Do security toolbars actually prevent phishing attacks?
Min Wu, Robert C. Miller, Simson Garfinkel · 2006 · 555 citations
Visual-similarity-based phishing detection
Eric Medvet, Engin Kirda, Christopher Kruegel · 2008 · 172 citations
Min Wu, Robert C. Miller, Greg Little · 2006 · 163 citations
Pierre Laperdrix, Nataliia Bielova, Benoît Baudry et al. · ACM Transactions on the Web · 2020 · 148 citations · Full text
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Centre National de la Recherche Scientifique
Paris, France
3 h-index
6 publications
382 citations
PayPal (United States)
San Jose, United States
2 h-index
3 publications
220 citations

Tampere University
Tampere, Finland
2 h-index
5 publications
179 citations
Arizona State University
Tempe, United States
2 h-index
13 publications
566 citations
Institut Mines-Télécom
Palaiseau, France
2 h-index
4 publications
86 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
6 publications
2.2K citations

KTH Royal Institute of Technology
Stockholm, Sweden
2 h-index
2 publications
172 citations
William & Mary
Williamsburg, United States
2 h-index
4 publications
216 citations
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Repository · 3 publications · 51 citations
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ICS · 1 publications · 22 citations
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Conference · 1 publications · 11 citations
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1 publications · 32 citations
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1 publications · 85 citations
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