Steganographic Analysis

Steganographic Analysis is a methodological framework within encryption analysis that systematically detects and extracts hidden messages embedded in digital media through covert channels, distinguishing itself by focusing on the identification of concealed data rather than the decryption of scrambled content.

131

Publications

6.2K

Citations

337

Authors

141

Institutions

Publications per year

2017–2026

37

Authors

337

  1. JF
    Jessica Fridrich

    Binghamton University, United States

    5 publications · 905 citations

    5

    h-index

  2. KS
    Krzysztof Szczypiorski

    Warsaw University of Technology, Poland

    5 publications · 78 citations

    5

    h-index

  3. SX
    Sui Xin-guang

    Institute of Electronics, China

    3 publications · 63 citations

    3

    h-index

  4. RD
    Roshidi Din

    Northern University of Malaysia, Malaysia

    3 publications · 63 citations

    3

    h-index

  5. AH
    Andrew H. Sung

    New Mexico Institute of Mining and Technology, United States

    3 publications · 210 citations

    3

    h-index

1–5 of 337

Venues

  1. 10

    h-index

  2. Multimedia Tools and Applications

    8 publications · 260 citations

    7

    h-index

  3. Information Sciences

    4 publications · 360 citations

    4

    h-index

  4. arXiv (Cornell University)

    Repository · 3 publications · 213 citations

    3

    h-index

  5. 3

    h-index

1–5