Color cube analysis for detection of LSB steganography in RGB color images
K Lee, C Jung, S Lee, J Lim�- …�Science and Its Applications–ICCSA 2005�…, 2005 - Springer
K Lee, C Jung, S Lee, J Lim
Computational Science and Its Applications–ICCSA 2005: International�…, 2005•SpringerThis 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�…
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�…
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.
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