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

Kwangsoo Lee, Changho Jung, Sangjin Lee, Jong In Lim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science
EditorsO. Gervasi, M.L. Gavrilova, V. Kumar, A. Lagana, H.P. Lee, Y. Mun, D. Taniar, C.J.K. Tan
Pages537-546
Number of pages10
Volume3481
EditionII
Publication statusPublished - 2005
EventInternational Conference on Computational Science and Its Applications - ICCSA 2005 - , Singapore
Duration: 2005 May 92005 May 12

Other

OtherInternational Conference on Computational Science and Its Applications - ICCSA 2005
CountrySingapore
Period05/5/905/5/12

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ASJC Scopus subject areas

  • Computer Science (miscellaneous)

Cite this

Lee, K., Jung, C., Lee, S., & Lim, J. I. (2005). Color cube analysis for detection of LSB steganography in RGB color images. In O. Gervasi, M. L. Gavrilova, V. Kumar, A. Lagana, H. P. Lee, Y. Mun, D. Taniar, & C. J. K. Tan (Eds.), Lecture Notes in Computer Science (II ed., Vol. 3481, pp. 537-546)