Performance study of common image steganography and steganalysis techniques

Mehdi Kharrazi, Husrev T. Sencar, Nasir Memon

    Research output: Contribution to journalArticle

    Abstract

    We investigate the performance of state of the art universal steganalyzers proposed in the literature. These universal steganalyzers are tested against a number of well-known steganographic embedding techniques that operate in both the spatial and transform domains. Our experiments are performed using a large data set of JPEG images obtained by randomly crawling a set of publicly available websites. The image data set is categorized with respect to size, quality, and texture to determine their potential impact on steganalysis performance. To establish a comparative evaluation of techniques, undetectability results are obtained at various embedding rates. In addition to variation in cover image properties, our comparison also takes into consideration different message length definitions and computational complexity issues. Our results indicate that the performance of steganalysis techniques is affected by the JPEG quality factor, and JPEG recompression artifacts serve as a source of confusion for almost all steganalysis techniques.

    Original languageEnglish (US)
    Article number041104
    JournalJournal of Electronic Imaging
    Volume15
    Issue number4
    DOIs
    StatePublished - Oct 2006

    Fingerprint

    steganography
    Steganography
    Websites
    Computational complexity
    Textures
    embedding
    websites
    Experiments
    confusion
    messages
    compressing
    artifacts
    Q factors
    textures
    evaluation

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Atomic and Molecular Physics, and Optics
    • Computer Vision and Pattern Recognition

    Cite this

    Performance study of common image steganography and steganalysis techniques. / Kharrazi, Mehdi; Sencar, Husrev T.; Memon, Nasir.

    In: Journal of Electronic Imaging, Vol. 15, No. 4, 041104, 10.2006.

    Research output: Contribution to journalArticle

    Kharrazi, Mehdi ; Sencar, Husrev T. ; Memon, Nasir. / Performance study of common image steganography and steganalysis techniques. In: Journal of Electronic Imaging. 2006 ; Vol. 15, No. 4.
    @article{ce3c02ad2d80438d987a94bdbdcc4e61,
    title = "Performance study of common image steganography and steganalysis techniques",
    abstract = "We investigate the performance of state of the art universal steganalyzers proposed in the literature. These universal steganalyzers are tested against a number of well-known steganographic embedding techniques that operate in both the spatial and transform domains. Our experiments are performed using a large data set of JPEG images obtained by randomly crawling a set of publicly available websites. The image data set is categorized with respect to size, quality, and texture to determine their potential impact on steganalysis performance. To establish a comparative evaluation of techniques, undetectability results are obtained at various embedding rates. In addition to variation in cover image properties, our comparison also takes into consideration different message length definitions and computational complexity issues. Our results indicate that the performance of steganalysis techniques is affected by the JPEG quality factor, and JPEG recompression artifacts serve as a source of confusion for almost all steganalysis techniques.",
    author = "Mehdi Kharrazi and Sencar, {Husrev T.} and Nasir Memon",
    year = "2006",
    month = "10",
    doi = "10.1117/1.2400672",
    language = "English (US)",
    volume = "15",
    journal = "Journal of Electronic Imaging",
    issn = "1017-9909",
    publisher = "SPIE",
    number = "4",

    }

    TY - JOUR

    T1 - Performance study of common image steganography and steganalysis techniques

    AU - Kharrazi, Mehdi

    AU - Sencar, Husrev T.

    AU - Memon, Nasir

    PY - 2006/10

    Y1 - 2006/10

    N2 - We investigate the performance of state of the art universal steganalyzers proposed in the literature. These universal steganalyzers are tested against a number of well-known steganographic embedding techniques that operate in both the spatial and transform domains. Our experiments are performed using a large data set of JPEG images obtained by randomly crawling a set of publicly available websites. The image data set is categorized with respect to size, quality, and texture to determine their potential impact on steganalysis performance. To establish a comparative evaluation of techniques, undetectability results are obtained at various embedding rates. In addition to variation in cover image properties, our comparison also takes into consideration different message length definitions and computational complexity issues. Our results indicate that the performance of steganalysis techniques is affected by the JPEG quality factor, and JPEG recompression artifacts serve as a source of confusion for almost all steganalysis techniques.

    AB - We investigate the performance of state of the art universal steganalyzers proposed in the literature. These universal steganalyzers are tested against a number of well-known steganographic embedding techniques that operate in both the spatial and transform domains. Our experiments are performed using a large data set of JPEG images obtained by randomly crawling a set of publicly available websites. The image data set is categorized with respect to size, quality, and texture to determine their potential impact on steganalysis performance. To establish a comparative evaluation of techniques, undetectability results are obtained at various embedding rates. In addition to variation in cover image properties, our comparison also takes into consideration different message length definitions and computational complexity issues. Our results indicate that the performance of steganalysis techniques is affected by the JPEG quality factor, and JPEG recompression artifacts serve as a source of confusion for almost all steganalysis techniques.

    UR - http://www.scopus.com/inward/record.url?scp=33847679624&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=33847679624&partnerID=8YFLogxK

    U2 - 10.1117/1.2400672

    DO - 10.1117/1.2400672

    M3 - Article

    VL - 15

    JO - Journal of Electronic Imaging

    JF - Journal of Electronic Imaging

    SN - 1017-9909

    IS - 4

    M1 - 041104

    ER -