Insider Threat Intelligence

Insider Threat Intelligence is a systematic academic construct that distinguishes itself within threat intelligence paradigmis by focusing specifically on the identification, analysis, and prediction of malicious or negligent behaviors originating from within an organization’s trusted user base through evidence-based indicators and contextual data.

8

Publications

281

Citations

14

Authors

9

Institutions

Publications per year

2017–2026

4

Authors

14

  1. AV
    Akanksha Vashisth

    University of Delhi, India

    1 publications · 15 citations

    1

    h-index

  2. TR
    Tom Roberts

    Louisiana Tech University, United States

    1 publications · 148 citations

    1

    h-index

  3. CP
    Clay Posey

    Louisiana Tech University, United States

    1 publications · 148 citations

    1

    h-index

  4. AJ
    A. J. Burns

    The University of Texas at Tyler, United States

    1 publications · 148 citations

    1

    h-index

  5. KS
    Kumar Saurabh

    Indian Institute of Information Technology Allahabad, India

    1 publications · 23 citations

    1

    h-index

1–5 of 14

Venues

  1. Engineering Technology & Applied Science Research

    ETASR · 1 publications · 25 citations

    1

    h-index

  2. Choice Reviews Online

    CRO · 1 publications · 25 citations

    1

    h-index

  3. Business Information Review

    BIR · 1 publications · 15 citations

    1

    h-index

  4. Computers in Human Behavior

    1 publications · 148 citations

    1

    h-index

  5. 2022 International Joint Conference on Neural Networks (IJCNN)

    Conference · 1 publications · 11 citations

    1

    h-index

1–5