Email Malware Detection
Email Malware Detection is a computational method designed to identify malicious software embedded within email messages by analyzing content, behavior, and transmission patterns to distinguish harmful payloads from legitimate communications.
59
Publications
3K
Citations
197
Authors
67
Institutions
Publications per year
2017–2026
27
Parents
59
Data mining methods for detection of new malicious executables
Matthew G. Schultz, Eleazar Eskin, F. Zadok et al. · 2002 · 1.1K citations · Full text
Nir Nissim, Aviad Cohen, Yuval Elovici · IEEE Transactions on Information Forensics and Security · 2016 · 98 citations
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Ben-Gurion University of the Negev
Beersheba, Israel
6 h-index
21 publications
915 citations
Columbia University
New York, United States
3 h-index
13 publications
4K citations

Sichuan University
Chengdu, China
2 h-index
7 publications
100 citations

Charles Darwin University
Darwin, Australia
2 h-index
11 publications
515 citations
Université de Rennes
Rennes, France
2 h-index
2 publications
35 citations
National Defence Academy
Pune, India
2 h-index
3 publications
62 citations
National Yunlin University of Science and Technology
Douliu, Taiwan
2 h-index
5 publications
218 citations

University of Hawaii System
Honolulu, United States
2 h-index
2 publications
84 citations
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JIP · 2 publications · 42 citations
2
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2 publications · 79 citations
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Repository · 2 publications · 32 citations
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1 publications · 25 citations
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Repository · 1 publications · 40 citations
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