Homograph Attack Detection
Homograph Attack Detection is a cybersecurity method designed to identify deceptive web domains that exploit visual similarities among characters from different scripts to mimic legitimate URLs, thereby distinguishing phishing attempts from authentic sites through script and character anomaly analysis.
6
Publications
341
Citations
22
Authors
11
Institutions
Publications per year
2017–2026
3
Parents
6
Evgeniy Gabrilovich, Alex Gontmakher · Communications of the ACM · 2002 · 110 citations
Suzuki Hiroaki, Daiki Chiba, Yoshiro Yoneya et al. · 2019 · 33 citations · Full text
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11

City University of Hong Kong
Hong Kong, Hong Kong
1 h-index
3 publications
39 citations
University of Washington
Seattle, United States
1 h-index
3 publications
183 citations
Waseda University
Tokyo, Japan
1 h-index
3 publications
99 citations

Charles Darwin University
Darwin, Australia
1 h-index
1 publications
86 citations
Technion – Israel Institute of Technology
Haifa, Israel
1 h-index
2 publications
220 citations
Universidad del Noreste
Tampico, Mexico
1 h-index
3 publications
114 citations
Prince Mohammad bin Fahd University
Khobar, Saudi Arabia
1 h-index
1 publications
86 citations
Örebro University
Örebro, Sweden
1 h-index
1 publications
86 citations
1–8 of 11
1 publications · 110 citations
1
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1 publications · 13 citations
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1 publications · 86 citations
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1 publications · 10 citations
JIP · 1 publications · 17 citations
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