A novel mapping scheme for steganalysis

Licong Chen; Yun Q. Shi; Patchara Sutthiwan; Xinxin Niu

doi:10.1007/978-3-642-40099-5_3

A novel mapping scheme for steganalysis

Licong Chen, Yun Q. Shi, Patchara Sutthiwan, Xinxin Niu

Electrical and Computer Engineering

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

15 Scopus citations

Abstract

Recently the research on steganalysis for breaking HUGO has been further moved ahead. A novel mapping scheme is reported in this paper. Through a Huffman coding like procedure, this scheme can lower the feature dimensionality from 625 to 120 generated from one residual image as a 4^th order co-occurrence matrix is considered. Two experiments have been reported to demonstrate its effectiveness. In breaking the HUGO, the proposed mapping scheme has been applied to the frame work of the state-of-the-art [13] with some minor modification. With a total number of 15,840 features the new method can achieve 87.17% accuracy in BOSSbase ver. 0.92 at 0.4 bpp, outperforming the state-of-the-art.

Original language	English (US)
Title of host publication	Digital Forensics and Watermaking - 11th International Workshop, IWDW 2012, Revised Selected Papers
Pages	19-33
Number of pages	15
DOIs	https://doi.org/10.1007/978-3-642-40099-5_3
State	Published - 2013
Event	11th International Workshop on Digital Forensics and Watermaking, IWDW 2012 - Shanghai, China Duration: Oct 31 2012 → Nov 3 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7809 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	11th International Workshop on Digital Forensics and Watermaking, IWDW 2012
Country/Territory	China
City	Shanghai
Period	10/31/12 → 11/3/12

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Keywords

HUGO (Highly Undetectable Stegonagraphy)
Markov process
Steganalysis
co-occurrence matrix
local binary patterns
mapping scheme
steganography
transition probability matrix

Access to Document

10.1007/978-3-642-40099-5_3

Cite this

Chen, L., Shi, Y. Q., Sutthiwan, P., & Niu, X. (2013). A novel mapping scheme for steganalysis. In Digital Forensics and Watermaking - 11th International Workshop, IWDW 2012, Revised Selected Papers (pp. 19-33). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7809 LNCS). https://doi.org/10.1007/978-3-642-40099-5_3

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title = "A novel mapping scheme for steganalysis",

abstract = "Recently the research on steganalysis for breaking HUGO has been further moved ahead. A novel mapping scheme is reported in this paper. Through a Huffman coding like procedure, this scheme can lower the feature dimensionality from 625 to 120 generated from one residual image as a 4th order co-occurrence matrix is considered. Two experiments have been reported to demonstrate its effectiveness. In breaking the HUGO, the proposed mapping scheme has been applied to the frame work of the state-of-the-art [13] with some minor modification. With a total number of 15,840 features the new method can achieve 87.17% accuracy in BOSSbase ver. 0.92 at 0.4 bpp, outperforming the state-of-the-art.",

keywords = "HUGO (Highly Undetectable Stegonagraphy), Markov process, Steganalysis, co-occurrence matrix, local binary patterns, mapping scheme, steganography, transition probability matrix",

author = "Licong Chen and Shi, {Yun Q.} and Patchara Sutthiwan and Xinxin Niu",

year = "2013",

doi = "10.1007/978-3-642-40099-5_3",

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isbn = "9783642400988",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Digital Forensics and Watermaking - 11th International Workshop, IWDW 2012, Revised Selected Papers",

note = "11th International Workshop on Digital Forensics and Watermaking, IWDW 2012 ; Conference date: 31-10-2012 Through 03-11-2012",

}

Chen, L, Shi, YQ, Sutthiwan, P & Niu, X 2013, A novel mapping scheme for steganalysis. in Digital Forensics and Watermaking - 11th International Workshop, IWDW 2012, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7809 LNCS, pp. 19-33, 11th International Workshop on Digital Forensics and Watermaking, IWDW 2012, Shanghai, China, 10/31/12. https://doi.org/10.1007/978-3-642-40099-5_3

A novel mapping scheme for steganalysis. / Chen, Licong; Shi, Yun Q.; Sutthiwan, Patchara et al.
Digital Forensics and Watermaking - 11th International Workshop, IWDW 2012, Revised Selected Papers. 2013. p. 19-33 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7809 LNCS).

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

TY - GEN

T1 - A novel mapping scheme for steganalysis

AU - Chen, Licong

AU - Shi, Yun Q.

AU - Sutthiwan, Patchara

AU - Niu, Xinxin

PY - 2013

Y1 - 2013

N2 - Recently the research on steganalysis for breaking HUGO has been further moved ahead. A novel mapping scheme is reported in this paper. Through a Huffman coding like procedure, this scheme can lower the feature dimensionality from 625 to 120 generated from one residual image as a 4th order co-occurrence matrix is considered. Two experiments have been reported to demonstrate its effectiveness. In breaking the HUGO, the proposed mapping scheme has been applied to the frame work of the state-of-the-art [13] with some minor modification. With a total number of 15,840 features the new method can achieve 87.17% accuracy in BOSSbase ver. 0.92 at 0.4 bpp, outperforming the state-of-the-art.

AB - Recently the research on steganalysis for breaking HUGO has been further moved ahead. A novel mapping scheme is reported in this paper. Through a Huffman coding like procedure, this scheme can lower the feature dimensionality from 625 to 120 generated from one residual image as a 4th order co-occurrence matrix is considered. Two experiments have been reported to demonstrate its effectiveness. In breaking the HUGO, the proposed mapping scheme has been applied to the frame work of the state-of-the-art [13] with some minor modification. With a total number of 15,840 features the new method can achieve 87.17% accuracy in BOSSbase ver. 0.92 at 0.4 bpp, outperforming the state-of-the-art.

KW - HUGO (Highly Undetectable Stegonagraphy)

KW - Markov process

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KW - steganography

KW - transition probability matrix

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BT - Digital Forensics and Watermaking - 11th International Workshop, IWDW 2012, Revised Selected Papers

T2 - 11th International Workshop on Digital Forensics and Watermaking, IWDW 2012

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ER -

A novel mapping scheme for steganalysis

Abstract

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