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

Kwangsoo Lee, Changho Jung, Sangjin Lee, Jongin Lim

Research output: Contribution to journalConference articlepeer-review

6 Citations (Scopus)


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
Pages (from-to)537-546
Number of pages10
JournalLecture Notes in Computer Science
Issue numberII
Publication statusPublished - 2005
EventInternational Conference on Computational Science and Its Applications - ICCSA 2005 - , Singapore
Duration: 2005 May 92005 May 12

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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