Human-machine Threat Analysis

Human-Machine Threat Analysis is a collaborative analytical framework that integrates human expertise with machine intelligence to jointly identify, interpret, and evaluate cybersecurity threats by combining cognitive reasoning and automated data processing in threat intelligence workflows.

48

Publications

2.8K

Citations

161

Authors

64

Institutions

Publications per year

2017–2026

39

Authors

161

  1. KR
    Kim‐Kwang Raymond Choo

    The University of Texas at San Antonio, United States

    2 publications · 343 citations

    2

    h-index

  2. ED
    Ernesto Damiani

    University of Milan, Italy

    2 publications · 67 citations

    2

    h-index

  3. IH
    Iqbal H. Sarker

    Chittagong University of Engineering & Technology, Bangladesh

    2 publications · 575 citations

    2

    h-index

  4. JL
    Jianhua Li

    Shanghai Jiao Tong University, China

    1 publications · 316 citations

    1

    h-index

  5. ED
    Emmanouil D. Protonotarios

    University College London, United Kingdom

    1 publications · 37 citations

    1

    h-index

1–5 of 161

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 102 citations

    2

    h-index

  2. Computer Science & IT Research Journal

    1 publications · 114 citations

    1

    h-index

  3. ACM Transactions on Internet Technology

    TOIT · 1 publications · 49 citations

    1

    h-index

  4. Journal of Network and Computer Applications

    JNCA · 1 publications · 88 citations

    1

    h-index

  5. Artificial Intelligence Review

    1 publications · 288 citations

    1

    h-index

1–5