Reputation-based Email Filtering
Reputation-Based Email Filtering is a method of email security that classifies messages by assessing the trustworthiness of their originating entities based on historical behavior and sender reputation, distinguishing it from content-based or rule-based filtering approaches through its reliance on external reputation metrics.
11
Publications
800
Citations
31
Authors
10
Institutions
Publications per year
2017–2026
1
Parents
11
Filtering spam with behavioral blacklisting
Anirudh Ramachandran, Nick Feamster, Santosh Vempala · 2007 · 267 citations
Reputation Network Analysis for Email Filtering.
Jennifer Golbeck, James Hendler · 2004 · 183 citations
Fighting Spam with Reputation Systems
Vipul Ved Prakash, Adam J. O'Donnell · Queue · 2005 · 48 citations · Full text
Elena Zheleva, Lise Getoor · ACM Transactions on Information Systems · 2008 · 39 citations
1–5 of 11
31
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IBM Research - Thomas J. Watson Research Center, United States
1 publications · 33 citations
1
h-index
1–5 of 31
10
Georgia Institute of Technology
Atlanta, United States
2 h-index
7 publications
1.4K citations

Nankai University
Tianjin, China
2 h-index
4 publications
52 citations
University of Maryland, College Park
College Park, United States
2 h-index
3 publications
261 citations
McPhee Research (United States)
Yakima, United States
1 h-index
1 publications
140 citations
Cloud Computing Center
Dongguan, China
1 h-index
2 publications
96 citations
University of Kufa
Najaf, Iraq
1 h-index
1 publications
16 citations

TU Wien
Vienna, Austria
1 h-index
3 publications
72 citations
University of Vienna
Vienna, Austria
1 h-index
3 publications
72 citations
1–8 of 10
Conference · 1 publications · 33 citations
1
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1 publications · 48 citations
1
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1 publications · 16 citations
1
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1 publications · 39 citations
1
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1 publications · 10 citations
1–5