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

Authors:
Kwangsoo Lee;Changho Jung;Sangjin Lee;Jongin Lim
Affiliations:
Center for Information Security Technologies, Korea University, Korea;Center for Information Security Technologies, Korea University, Korea;Center for Information Security Technologies, Korea University, Korea;Center for Information Security Technologies, Korea University, Korea
Venue:
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part II
Year:
2005

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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.