A secure steganographic scheme against statistical analyses

Jeong Jae Yu, Jae Won Han, Kwang Su Lee, O. Seung Cheol, Sangjin Lee, Il Hwan Park

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Westfeld[1] analyzed a. sequential LSB embedding steganography effectively through the χ2-statistical test which measures the frequencies of PoVs(pairs of values). Fridrich[2] also proposed another statistical analysis, so-called RS steganalysis by which the embedding message rate can be estimated. This method is based on the partition of pixels as three groups; Regular, Singular, Unusable groups. In this paper, we propose a new steganographic scheme which preserves the above two statistics. The proposed scheme embeds the secret message in the innocent image by randomly adding one to real pixel value or subtracting one from it, then adjusts the statistical measures to equal those of the original image.

Original languageEnglish
Pages (from-to)497-507
Number of pages11
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2939
Publication statusPublished - 2004 Dec 1

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Pixel
Pixels
Steganalysis
Steganography
Statistical tests
Statistical test
Statistical Analysis
Statistical methods
Partition
Statistics

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

A secure steganographic scheme against statistical analyses. / Yu, Jeong Jae; Han, Jae Won; Lee, Kwang Su; Seung Cheol, O.; Lee, Sangjin; Park, Il Hwan.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2939, 01.12.2004, p. 497-507.

Research output: Contribution to journalArticle

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