Adversary Behavior Analysis

Adversary Behavior Analysis is a systematic method within threat intelligence integration that characterizes the tactical, operational, and strategic actions of malicious actors by analyzing observed indicators, attack patterns, and contextual data to differentiate attacker modus operandi from generic threat activity.

59

Publications

2.5K

Citations

195

Authors

79

Institutions

Publications per year

2017–2026

23

Authors

195

  1. MT
    Milind Tambe

    University of Southern California, United States

    10 publications · 392 citations

    10

    h-index

  2. FF
    Fei Fang

    Inha University, South Korea

    4 publications · 200 citations

    4

    h-index

  3. AS
    Arunesh Sinha

    University of Southern California, United States

    4 publications · 95 citations

    4

    h-index

  4. DK
    Debarun Kar

    University of Southern California, United States

    3 publications · 168 citations

    3

    h-index

  5. JM
    Joshua Mabonga

    University of Southern California, United States

    2 publications · 68 citations

    2

    h-index

1–5 of 195

Venues

  1. Computers & Security

    3 publications · 259 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 48 citations

    2

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 28 citations

    2

    h-index

  4. 2

    h-index

  5. Naval War College review

    1 publications · 10 citations

    1

    h-index

1–5