Hidden File Detection

Hidden File Detection is a forensic analysis method in the domain of File System and Rootkit Analysis that identifies files concealed through structural, permission-based, or kernel-level manipulation by distinguishing them from normally accessible files through non-standard directory enumeration or direct disk inspection techniques.

23

Publications

701

Citations

59

Authors

17

Institutions

Publications per year

2017–2026

1

Authors

59

  1. BB
    B. B. Zaidan

    Sultan Idris Education University, Malaysia

    6 publications · 164 citations

    6

    h-index

  2. AA
    A. A. Zaidan

    Sultan Idris Education University, Malaysia

    5 publications · 137 citations

    5

    h-index

  3. ID
    Ian Davidson

    University of California, Davis, United States

    2 publications · 31 citations

    2

    h-index

  4. GP
    Goutam Paul

    Indian Statistical Institute, India

    2 publications · 31 citations

    2

    h-index

  5. AW
    Ahmed Wathik Naji

    International Islamic University Malaysia, Malaysia

    2 publications · 53 citations

    2

    h-index

1–5 of 59

Venues

  1. Journal of Applied Sciences

    1 publications · 22 citations

    1

    h-index

  2. Computers & Security

    1 publications · 44 citations

    1

    h-index

  3. Scholarly Commons (Embry–Riddle Aeronautical University)

    Repository · 1 publications · 132 citations

    1

    h-index

  4. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 1 publications · 44 citations

    1

    h-index

  5. International journal of digital evidence

    1 publications · 38 citations

    1

    h-index

1–5