Steganographic Data Detection

Steganographic Data Detection is a forensic analytical technique within database forensics that identifies concealed data embedded within database objects or structures through steganographic methods, distinguishing it from general data recovery by specifically targeting covert information-hiding mechanisms.

63

Publications

3K

Citations

172

Authors

64

Institutions

Publications per year

2017–2026

23

Authors

172

  1. YH
    Yongfeng Huang

    Tsinghua University, China

    4 publications · 387 citations

    5

    h-index

  2. RC
    Rémi Cogranne

    Université de Technologie de Troyes, France

    4 publications · 119 citations

    4

    h-index

  3. FR
    Florent Retraint

    Université de Technologie de Troyes, France

    3 publications · 108 citations

    3

    h-index

  4. JF
    Jessica Fridrich

    Binghamton University, United States

    3 publications · 955 citations

    3

    h-index

  5. XP
    Xijian Ping

    Zhejiang Science and Technology Information Institute, China

    3 publications · 208 citations

    3

    h-index

1–5 of 172

Venues

  1. 6

    h-index

  2. IEEE Access

    4 publications · 121 citations

    4

    h-index

  3. 4

    h-index

  4. Multimedia Tools and Applications

    3 publications · 47 citations

    3

    h-index

  5. Signal Processing

    2 publications · 138 citations

    2

    h-index

1–5