Fraud Detection Audit

A Fraud Detection Audit is a systematic examination process, belonging to the genus of security audit methodologies, specifically designed to identify, analyze, and report anomalous activities or patterns indicative of intentional deception or unauthorized actions within digital systems, thereby differentiating it from general vulnerability or compliance audits by its focused intent on uncovering fraudulent behavior.

119

Publications

5.3K

Citations

258

Authors

143

Institutions

Publications per year

2017–2026

47

Authors

258

  1. KV
    Karen V. Pincus

    University of Arkansas at Fayetteville, United States

    3 publications · 36 citations

    3

    h-index

  2. GD
    Glen D. Moyes

    Fordham University, United States

    3 publications · 129 citations

    3

    h-index

  3. RS
    Reed Smith

    Indiana University, United States

    2 publications · 45 citations

    2

    h-index

  4. JT
    Joseph T. Wells

    2 publications · 36 citations

    2

    h-index

  5. RK
    Rasha Kassem

    The Open University, United Kingdom

    1 publications · 26 citations

    2

    h-index

1–5 of 258

Venues

  1. Managerial Auditing Journal

    MAJ · 11 publications · 694 citations

    11

    h-index

  2. SSRN Electronic Journal

    Repository · 6 publications · 155 citations

    6

    h-index

  3. Journal of accountancy online/Journal of accountancy

    JofA · 5 publications · 140 citations

    5

    h-index

  4. International Journal of Auditing

    IJA · 4 publications · 129 citations

    4

    h-index

  5. Auditing A Journal of Practice & Theory

    AJPT · 4 publications · 814 citations

    4

    h-index

1–5