Quantitative steganalysis of binary images

Ming Jiang, Nasir Memon, Edward Wong, Xiaolin Wu

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    We propose a quantitative steganalysis method to detect hidden information embedded by flipping pixels along boundaries in binary images. We model steganographic embedding as an additive noise process and use compression rate as a distinguishing statistic that aids in discriminating between stego-images and cover-images. We specifically use the JBIG 2 binary image compression algorithm to derive a quantitative relation between compression rate and embedding rate. Based on this relationship, a practical steganalysis technique is proposed by examining the change of compression rate as embedding rate increases. Experiments conducted show that the proposed technique can reliably detect a steganographic embedding process that flips boundary pixels. Furthermore, it can estimate embedding rate with reasonable accuracy.

    Original languageEnglish (US)
    Title of host publication2004 International Conference on Image Processing, ICIP 2004
    Pages29-32
    Number of pages4
    Volume1
    DOIs
    StatePublished - 2004
    Event2004 International Conference on Image Processing, ICIP 2004 - , Singapore
    Duration: Oct 24 2004Oct 27 2004

    Other

    Other2004 International Conference on Image Processing, ICIP 2004
    CountrySingapore
    Period10/24/0410/27/04

    Fingerprint

    Binary images
    Pixels
    Additive noise
    Image compression
    Statistics
    Experiments

    ASJC Scopus subject areas

    • Engineering(all)

    Cite this

    Jiang, M., Memon, N., Wong, E., & Wu, X. (2004). Quantitative steganalysis of binary images. In 2004 International Conference on Image Processing, ICIP 2004 (Vol. 1, pp. 29-32) https://doi.org/10.1109/ICIP.2004.1418682

    Quantitative steganalysis of binary images. / Jiang, Ming; Memon, Nasir; Wong, Edward; Wu, Xiaolin.

    2004 International Conference on Image Processing, ICIP 2004. Vol. 1 2004. p. 29-32.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Jiang, M, Memon, N, Wong, E & Wu, X 2004, Quantitative steganalysis of binary images. in 2004 International Conference on Image Processing, ICIP 2004. vol. 1, pp. 29-32, 2004 International Conference on Image Processing, ICIP 2004, Singapore, 10/24/04. https://doi.org/10.1109/ICIP.2004.1418682
    Jiang M, Memon N, Wong E, Wu X. Quantitative steganalysis of binary images. In 2004 International Conference on Image Processing, ICIP 2004. Vol. 1. 2004. p. 29-32 https://doi.org/10.1109/ICIP.2004.1418682
    Jiang, Ming ; Memon, Nasir ; Wong, Edward ; Wu, Xiaolin. / Quantitative steganalysis of binary images. 2004 International Conference on Image Processing, ICIP 2004. Vol. 1 2004. pp. 29-32
    @inproceedings{d1f73c102a214dfea9516f31182e900e,
    title = "Quantitative steganalysis of binary images",
    abstract = "We propose a quantitative steganalysis method to detect hidden information embedded by flipping pixels along boundaries in binary images. We model steganographic embedding as an additive noise process and use compression rate as a distinguishing statistic that aids in discriminating between stego-images and cover-images. We specifically use the JBIG 2 binary image compression algorithm to derive a quantitative relation between compression rate and embedding rate. Based on this relationship, a practical steganalysis technique is proposed by examining the change of compression rate as embedding rate increases. Experiments conducted show that the proposed technique can reliably detect a steganographic embedding process that flips boundary pixels. Furthermore, it can estimate embedding rate with reasonable accuracy.",
    author = "Ming Jiang and Nasir Memon and Edward Wong and Xiaolin Wu",
    year = "2004",
    doi = "10.1109/ICIP.2004.1418682",
    language = "English (US)",
    isbn = "0780385543",
    volume = "1",
    pages = "29--32",
    booktitle = "2004 International Conference on Image Processing, ICIP 2004",

    }

    TY - GEN

    T1 - Quantitative steganalysis of binary images

    AU - Jiang, Ming

    AU - Memon, Nasir

    AU - Wong, Edward

    AU - Wu, Xiaolin

    PY - 2004

    Y1 - 2004

    N2 - We propose a quantitative steganalysis method to detect hidden information embedded by flipping pixels along boundaries in binary images. We model steganographic embedding as an additive noise process and use compression rate as a distinguishing statistic that aids in discriminating between stego-images and cover-images. We specifically use the JBIG 2 binary image compression algorithm to derive a quantitative relation between compression rate and embedding rate. Based on this relationship, a practical steganalysis technique is proposed by examining the change of compression rate as embedding rate increases. Experiments conducted show that the proposed technique can reliably detect a steganographic embedding process that flips boundary pixels. Furthermore, it can estimate embedding rate with reasonable accuracy.

    AB - We propose a quantitative steganalysis method to detect hidden information embedded by flipping pixels along boundaries in binary images. We model steganographic embedding as an additive noise process and use compression rate as a distinguishing statistic that aids in discriminating between stego-images and cover-images. We specifically use the JBIG 2 binary image compression algorithm to derive a quantitative relation between compression rate and embedding rate. Based on this relationship, a practical steganalysis technique is proposed by examining the change of compression rate as embedding rate increases. Experiments conducted show that the proposed technique can reliably detect a steganographic embedding process that flips boundary pixels. Furthermore, it can estimate embedding rate with reasonable accuracy.

    UR - http://www.scopus.com/inward/record.url?scp=20444438003&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=20444438003&partnerID=8YFLogxK

    U2 - 10.1109/ICIP.2004.1418682

    DO - 10.1109/ICIP.2004.1418682

    M3 - Conference contribution

    SN - 0780385543

    VL - 1

    SP - 29

    EP - 32

    BT - 2004 International Conference on Image Processing, ICIP 2004

    ER -