Domain Generation Algorithm Analysis

Domain Generation Algorithm Analysis is a methodological framework in botnet analysis that systematically identifies and characterizes algorithmically generated domain names to distinguish malicious traffic from benign activity through pattern recognition and behavioral inference.

22

Publications

896

Citations

79

Authors

37

Institutions

Publications per year

2017–2026

16

Authors

79

  1. XL
    Xi Luo

    Chinese Academy of Sciences, China

    3 publications · 102 citations

    3

    h-index

  2. ZX
    Zhen Xu

    Chinese Academy of Sciences, China

    3 publications · 102 citations

    3

    h-index

  3. MA
    Michael A. Klatt

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    1 publications · 180 citations

    1

    h-index

  4. YM
    Yasuo Musashi

    Kumamoto University, Japan

    1 publications · 18 citations

    1

    h-index

  5. LW
    Liming Wang

    University of Illinois Urbana-Champaign, United States

    1 publications · 16 citations

    1

    h-index

1–5 of 79