File Reputation Analysis

File Reputation Analysis is a malware triage method that assesses the likelihood of a file being malicious based on its observed prevalence, source, behavior, and historical interactions across global datasets, distinguishing itself from other static or dynamic analysis techniques by relying on empirical evidence of the file’s prior appearances and affiliations in threat intelligence ecosystems.

6

Publications

483

Citations

21

Authors

12

Institutions

Publications per year

2017–2026

1

Authors

21

  1. CF
    Christos Faloutsos

    Carnegie Mellon University, United States

    2 publications · 205 citations

    2

    h-index

  2. DH
    Duen Horng Chau

    Georgia Institute of Technology, United States

    2 publications · 205 citations

    2

    h-index

  3. AW
    Adam Wright

    Brigham and Women's Hospital, United States

    2 publications · 205 citations

    2

    h-index

  4. JW
    Jeffrey Wilhelm

    Carnegie Mellon University, United States

    2 publications · 205 citations

    2

    h-index

  5. CN
    Carey Nachenberg

    Carnegie Mellon University, United States

    2 publications · 205 citations

    2

    h-index

1–5 of 21

Venues

  1. Expert Systems with Applications

    1 publications · 23 citations

    1

    h-index

  2. Computers & Security

    1 publications · 94 citations

    1

    h-index

  3. Future Generation Computer Systems

    FGCS · 1 publications · 148 citations

    1

    h-index

1–3