Content-based Email Filtering
Content-Based Email Filtering is a method of email filtering that analyzes the textual and structural content of email messages—such as keywords, phrases, formatting, and attachments—to distinguish spam or malicious emails from legitimate ones based on intrinsic message features rather than external metadata or sender information.
52
Publications
2.6K
Citations
126
Authors
56
Institutions
Publications per year
2017–2026
5
Parents
52
Relaxed online SVMs for spam filtering
D. Sculley, Gabriel Wachman · 2007 · 223 citations
Content based SMS spam filtering
José María Gómez Hidalgo, Guillermo Cajigas Bringas, Enrique Puertas et al. · 2006 · 216 citations · Full text
New filtering approaches for phishing email
André Bergholz, Jan De Beer, Sebastian Glahn et al. · Journal of Computer Security · 2010 · 169 citations
Scott Garriss, Michael Kaminsky, Michael J. Freedman et al. · Networked Systems Design and Implementation · 2006 · 133 citations
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University of Electronic Science and Technology of China, China
2 publications · 48 citations
2
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1–5 of 126
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University of Cagliari
Cagliari, Italy
3 h-index
12 publications
452 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
5 publications
338 citations
University College London
London, United Kingdom
2 h-index
2 publications
153 citations

University of Electronic Science and Technology of China
Chengdu, China
2 h-index
8 publications
192 citations

East China Normal University
Shanghai, China
2 h-index
2 publications
26 citations
Stanford University
Stanford, United States
2 h-index
4 publications
360 citations
Intel (United States)
Santa Clara, United States
1 h-index
2 publications
266 citations

Bharathiar University
Coimbatore, India
1 h-index
2 publications
28 citations
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Repository · 1 publications · 44 citations
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Repository · 1 publications · 36 citations
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AIL · 1 publications · 17 citations
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Repository · 1 publications · 10 citations
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Conference · 1 publications · 40 citations
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