Email Fraud Detection is a methodological framework within the domain of email security that systematically identifies and mitigates deceptive electronic communications by analyzing behavioral, linguistic, and technical indicators to distinguish fraudulent email instances from legitimate ones.
54
Publications
2K
Citations
154
Authors
77
Institutions
Publications per year
2017–2026
24
Parents
Publications
54
Christine E. Drake, Jonathan Oliver, Eugene J. Koontz · Conference on Email and Anti-Spam · 2004 · 87 citations
Detecting Phishing Emails Using Hybrid Features
Liping Ma, Bahadorreza Ofoghi, Paul Watters et al. · 2009 · 78 citations
1–5 of 54
Authors
154
- RW
3
h-index
- GL
3
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- ÉS
2
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- TP
2
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- CG
2
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1–5 of 154
Institutions
77
University of Chile
Santiago, Chile
3 h-index
10 publications
332 citations
Lancaster University
Lancaster, United Kingdom
2 h-index
6 publications
192 citations
George Mason University
Fairfax, United States
2 h-index
2 publications
87 citations
Universidade de Brasília
Brasília, Brazil
2 h-index
9 publications
518 citations
Middle East Technical University
Ankara, Türkiye
1 h-index
1 publications
10 citations
University of Cambridge
Cambridge, United Kingdom
1 h-index
1 publications
11 citations
Western Kentucky University
Bowling Green, United States
1 h-index
1 publications
23 citations
REVA University
Bengaluru, India
1 h-index
4 publications
64 citations
1–8 of 77
Venues
- IEEE Access
3 publications · 139 citations
3
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- International Journal of Computer Applications
2 publications · 62 citations
2
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- Journal of Computing and Information Technology
CIT · 1 publications · 16 citations
1
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- TELKOMNIKA (Telecommunication Computing Electronics and Control)
1 publications · 22 citations
1
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- Journal of Information Systems
1 publications · 22 citations
1
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