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

Authors

31

  1. NF
    Nick Feamster

    Georgia Institute of Technology, United States

    2 publications · 407 citations

    2

    h-index

  2. VV
    Vipul Ved Prakash

    Cloud Computing Center, China

    1 publications · 48 citations

    1

    h-index

  3. AJ
    Ahmed J. Obaid

    University of Kufa, Iraq

    1 publications · 16 citations

    1

    h-index

  4. SK
    Sven Krasser

    Georgia Institute of Technology, United States

    1 publications · 140 citations

    1

    h-index

  5. MN
    Mark N. Wegman

    IBM Research - Thomas J. Watson Research Center, United States

    1 publications · 33 citations

    1

    h-index

1–5 of 31

Venues

  1. Conference on Email and Anti-Spam

    Conference · 1 publications · 33 citations

    1

    h-index

  2. Queue

    1 publications · 48 citations

    1

    h-index

  3. EAI Endorsed Transactions on Energy Web

    1 publications · 16 citations

    1

    h-index

  4. ACM Transactions on Information Systems

    1 publications · 39 citations

    1

    h-index

  5. AASRI Procedia

    1 publications · 10 citations

1–5