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

Kwangsoo Lee; Changho Jung; Sangjin Lee; Jongin Lim

doi:10.1007/11424826_57

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

Kwangsoo Lee, Changho Jung, Sangjin Lee, Jongin Lim

School of Cybersecurity

Research output: Contribution to journal › Conference article › peer-review

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 language	English
Pages (from-to)	537-546
Number of pages	10
Journal	Lecture Notes in Computer Science
Volume	3481
Issue number	II
DOIs	https://doi.org/10.1007/11424826_57
Publication status	Published - 2005
Event	International Conference on Computational Science and Its Applications - ICCSA 2005 - , Singapore Duration: 2005 May 9 → 2005 May 12

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

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10.1007/11424826_57

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title = "Color cube analysis for detection of LSB steganography in RGB color images",

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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AU - Lim, Jongin

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N2 - 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.

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

Abstract

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