Hidden Data Detection

Hidden Data Detection is a forensic analysis technique that identifies concealed information within digital storage media by distinguishing intentional obfuscation methods, such as steganography or data padding, from normal file artifacts.

348

Publications

15K

Citations

796

Authors

339

Institutions

Publications per year

2017–2026

95

Authors

796

  1. BB
    B. B. Zaidan

    Sultan Idris Education University, Malaysia

    17 publications · 442 citations

    15

    h-index

  2. AA
    A. A. Zaidan

    Sultan Idris Education University, Malaysia

    15 publications · 378 citations

    14

    h-index

  3. RC
    Rémi Cogranne

    Université de Technologie de Troyes, France

    16 publications · 603 citations

    13

    h-index

  4. FR
    Florent Retraint

    Université de Technologie de Troyes, France

    12 publications · 313 citations

    11

    h-index

  5. JF
    Jessica Fridrich

    Binghamton University, United States

    5 publications · 1.2K citations

    6

    h-index

1–5 of 796

Venues

  1. 10

    h-index

  2. 10

    h-index

  3. Multimedia Tools and Applications

    8 publications · 237 citations

    8

    h-index

  4. Signal Processing

    5 publications · 185 citations

    5

    h-index

  5. International Journal of Computer Applications

    3 publications · 135 citations

    3

    h-index

1–5