Color cube analysis for detection of LSB steganography in RGB color images

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Abstract

This paper introduces a new distribution model of RGB colors in RGB color images that can be easily breakable by LSB embedding. Regarding the RGB colors as the points of a 3-dimensional lattice space, we consider the noisiness of some special sets called the δ-cubes. The model is based on the symmetrical patterns of noise vectors in some of the comparable δ-cubes. Our new steganalytic technique based on the model, called by the color cube analysis, was capable to detect reliably the low-rate LSB embedding, even when it did not have any false detection, in our experiment. © Springer-Verlag Berlin Heidelberg 2005.

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Lee, K., Jung, C., Lee, S., & Lim, J. (2005). Color cube analysis for detection of LSB steganography in RGB color images. In Lecture Notes in Computer Science (Vol. 3481, pp. 537–546). Springer Verlag. https://doi.org/10.1007/11424826_57

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