Adversary Behavior Modeling

Adversary Behavior Modeling is a systematic framework that characterizes the strategic, tactical, and operational patterns of threat actors by synthesizing empirical observations and intelligence into predictive representations of malicious cyber behavior.

177

Publications

7K

Citations

506

Authors

203

Institutions

Publications per year

2017–2026

75

Authors

506

  1. MT
    Milind Tambe

    University of Southern California, United States

    20 publications · 946 citations

    15

    h-index

  2. BA
    Bo An

    Nanyang Technological University, Singapore

    6 publications · 203 citations

    6

    h-index

  3. RY
    Rong Yang

    University of Southern California, United States

    5 publications · 364 citations

    5

    h-index

  4. FF
    Fei Fang

    Inha University, South Korea

    5 publications · 350 citations

    5

    h-index

  5. AS
    Arunesh Sinha

    University of Southern California, United States

    5 publications · 144 citations

    5

    h-index

1–5 of 506

Venues

  1. Computers & Security

    9 publications · 576 citations

    9

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 6 publications · 277 citations

    6

    h-index

  3. Risk Analysis

    5 publications · 352 citations

    5

    h-index

  4. 5

    h-index

  5. European Journal of Operational Research

    3 publications · 88 citations

    3

    h-index

1–5