Computer Fraud Detection

Computer Fraud Detection is a systematic method within the domain of information technology auditing that identifies unauthorized, deceptive, or malicious digital activities by analyzing system behaviors, transaction patterns, and access controls to distinguish fraudulent actions from legitimate operations.

160

Publications

7K

Citations

513

Authors

217

Institutions

Publications per year

2017–2026

77

Authors

513

  1. ZL
    Zhao Li

    Alibaba Group (China), China

    4 publications · 278 citations

    4

    h-index

  2. WH
    Wenlin Han

    University of Alabama, United States

    3 publications · 111 citations

    3

    h-index

  3. YX
    Yang Xiao

    University of Alabama, United States

    3 publications · 111 citations

    3

    h-index

  4. HW
    Haiqin Weng

    Zhejiang University, China

    2 publications · 67 citations

    2

    h-index

  5. HW
    Han Wang

    Monash University, Australia

    2 publications · 54 citations

    2

    h-index

1–5 of 513

Venues

  1. Computers & Security

    3 publications · 84 citations

    3

    h-index

  2. International Journal of Computer Applications

    3 publications · 148 citations

    3

    h-index

  3. IEEE Access

    3 publications · 54 citations

    3

    h-index

  4. Expert Systems with Applications

    3 publications · 324 citations

    3

    h-index

  5. Future Generation Computer Systems

    FGCS · 2 publications · 113 citations

    2

    h-index

1–5