A secure steganographic scheme against statistical analyses

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

doi:10.1007/978-3-540-24624-4_40

A secure steganographic scheme against statistical analyses

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

School of Cybersecurity

Research output: Chapter in Book/Report/Conference proceeding › Chapter

7 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 language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Ton Kalker, Ingemar J. Cox, Yong Man Ro
Publisher	Springer Verlag
Pages	497-507
Number of pages	11
ISBN (Print)	354021061X
DOIs	https://doi.org/10.1007/978-3-540-24624-4_40
Publication status	Published - 2004

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2939
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

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10.1007/978-3-540-24624-4_40

Cite this

Yu, J. J., Han, J. W., Lee, K. S., Seung Cheol, O., Lee, S., & Park, I. H. (2004). A secure steganographic scheme against statistical analyses. In T. Kalker, I. J. Cox, & Y. M. Ro (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 497-507). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2939). Springer Verlag. https://doi.org/10.1007/978-3-540-24624-4_40

A secure steganographic scheme against statistical analyses. / Yu, Jeong Jae; Han, Jae Won; Lee, Kwang Su et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Ton Kalker; Ingemar J. Cox; Yong Man Ro. Springer Verlag, 2004. p. 497-507 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2939).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Yu, JJ, Han, JW, Lee, KS, Seung Cheol, O, Lee, S & Park, IH 2004, A secure steganographic scheme against statistical analyses. in T Kalker, IJ Cox & YM Ro (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2939, Springer Verlag, pp. 497-507. https://doi.org/10.1007/978-3-540-24624-4_40

Yu JJ, Han JW, Lee KS, Seung Cheol O, Lee S, Park IH. A secure steganographic scheme against statistical analyses. In Kalker T, Cox IJ, Ro YM, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 497-507. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-24624-4_40

Yu, Jeong Jae ; Han, Jae Won ; Lee, Kwang Su et al. / A secure steganographic scheme against statistical analyses. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Ton Kalker ; Ingemar J. Cox ; Yong Man Ro. Springer Verlag, 2004. pp. 497-507 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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A secure steganographic scheme against statistical analyses

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