Skimming Detection

Skimming Detection is a forensic accounting method designed to identify the concealment of revenue or assets prior to their recording in organizational financial records, distinguishing it from other fraud detection techniques by focusing on unrecorded transactions indicative of initial theft.

7

Publications

130

Citations

21

Authors

10

Institutions

Publications per year

2017–2026

2

Authors

21

  1. PT
    Patrick Traynor

    University of Florida, United States

    1 publications · 21 citations

    1

    h-index

  2. PM
    Pierangelo Migliorati

    University of Brescia, Italy

    1 publications · 10 citations

    1

    h-index

  3. ZW
    Zijun Wei

    Stony Brook University, United States

    1 publications · 25 citations

    1

    h-index

  4. RL
    Riccardo Leonardi

    University of Brescia, Italy

    1 publications · 10 citations

    1

    h-index

  5. CK
    Conor Kelton

    Stony Brook University, United States

    1 publications · 25 citations

    1

    h-index

1–5 of 21

Venues

  1. The Auk

    1 publications · 11 citations

    1

    h-index

  2. USENIX Security Symposium

    Conference · 1 publications · 21 citations

    1

    h-index

  3. Signal Processing

    1 publications · 23 citations

    1

    h-index

  4. 1

    h-index

  5. Journal of Financial Crime

    1 publications · 11 citations

1–5