In this paper, we present a new steganalytic technique to detect the use of LSB steganography in the gray-scale images. We are motivated by a need to research the high-dimensional joint characteristics of locally correlated samples. In the development, we used the successively adjacent n-pixel chains in the horizontal and vertical directions as the basic units of our steganalysis. The experimental results of the proposed method are described and compared with those of previous steganalytic methods. At the results, the proposed method outperformed the previous steganalytic methods and highly detected the low-rate embedding, even if any false detection were not occurred. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Lee, K., Jung, C., Lee, S., & Lim, J. (2006). New steganalysis methodology: LR cube analysis for the detection of LSB steganography. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3727 LNCS, pp. 312–326). Springer Verlag. https://doi.org/10.1007/11558859_23
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