research-article

Distortion function designing for JPEG steganography with uncompressed side-image

Authors:

Yun-Qing ShiAuthors Info & Claims

IH&MMSec '13: Proceedings of the first ACM workshop on Information hiding and multimedia security

Pages 69 - 76

https://doi.org/10.1145/2482513.2482517

Published: 17 June 2013 Publication History

Abstract

In this paper, we present a new framework for designing distortion functions of joint photographic experts group (JPEG) steganography with uncompressed side-image. In our framework, the discrete cosine transform (DCT) coefficients, including all direct current (DC) coefficients and alternating current (AC) coefficients, are divided into two groups: first-priority group (FPG) and second-priority group (SPG). Different strategies are established to associate the distortion values to the coefficients in FPG and SPG, respectively. In this paper, three scenarios for dividing the coefficients into FPG and SPG are exemplified, which can be utilized to form a series of new distortion functions. Experimental results demonstrate that while applying these generated distortion functions to JPEG steganography, the intrinsic statistical characteristics of the carrier image will be preserved better than the prior-art, and consequently the security performance of the corresponding JPEG steganography can be improved significantly.

References

[1]

J. Fridrich, P. Lisonek and D. Soukal, "On Steganographic embedding efficiency," in Proc. Information Hiding Workshop 2006, LNCS 4437, pp. 282--296, 2007

Digital Library

[2]

J. Fridrich, M. Goljan and D. Soukal, "Perturbed quantization steganography with wet paper codes," in Proc. the ACM Workshop on Multimedia & Security, Magdeburg, Germany, September 20--21, pp. 4--15, 2004.

Digital Library

[3]

J. Fridrich, T. Pevný and J. Kodovský, "Statistically undetectable JPEG steganography: dead ends, challenges, and opportunities," in Proc. the ACM Workshop on Multimedia and Security, Dallas, Texas, September 20--21, pp. 3--14, 2007.

Digital Library

[4]

V. Sachnev, H. J. Kim, and R. Zhang, "Less detectable JPEG steganography method based on heuristic optimization and BCH syndrome coding," in Proc. the ACM Workshop on Multimedia & Security, Princeton, New Jersey, Sep. 7--9, pp. 131--140, 2009.

Digital Library

[5]

T. Filler, J. Judas, and J. Fridrich, "Minimizing additive distortion in steganography using Syndrome-Trellis Codes," IEEE Transactions on Information Forensics and Security, vol. 6, no. 3, pp. 920--935, 2010.

Digital Library

[6]

V. Sachnev, H. J. Kim, "Modified BCH data hiding scheme for JPEG steganography," Eurasip Journal on advances in signal processing, vol. 2012, no. 1, pp. 89--98, 2012

[7]

C. Wang, J. Ni, "An efficient JPEG steganographic scheme based on block-entropy of DCT coefficients," in Proc. of IEEE ICASSP, Kyoto, Japan, Mar. 25--30, pp. 1785--1788, 2012

[8]

F. Huang, J. Huang, and Y. Q. Shi, "New channel selection rule for JPEG steganography," IEEE Trans. Information Forensics and Security, vol. 7, no. 4, pp. 1181--1191, 2012.

Digital Library

[9]

R. Crandall, "Some notes on steganography", Posted on Steganography Mailing List, 1998. http://os.inf.tu-dresden.de/~westfeld/crandall.pdf

[10]

A. Westfeld, "High capacity despite better steganalysis (F5-a steganographic algorithm)", in Proc. Information Hiding, 4th International Workshop, volume 2137 of Lecture Notes in Computer Science, pp. 289--302, 2001.

Digital Library

[11]

J. Fridrich, M. Goljan, P. Lisonek, and D. Soukal, "Writing on wet paper," IEEE Trans. Signal Processing, vol. 53, no. 10, pp. 3923--3935, 2005.

Digital Library

[12]

J. Fridrich, M. Goljan and D. Soukal, "Wet paper codes with improved embedding efficiency," IEEE Trans. Information Forensics and Security, vol. 1, no. 1, pp. 102--110, 2006.

Digital Library

[13]

Y. Kim, Z. Duric and D. Richards, "Modified matrix encoding technique for minimal distortion steganography," in Proc. Information Hiding Workshop 2006, LNCS 4437, pp. 314--327, 2007.

Digital Library

[14]

T. K. Moon, Error Correction Coding, Mathematical Methods and Algorithms. Hoboken, NJ: Wiley, 2005.

Digital Library

[15]

D. Schönfeld, A. Winkler, "Embedding with syndrome coding based on BCH codes," in Proc. the ACM Workshop on Multimedia & Security, Geneva, Switzerland, Sep. 26--27, pp. 214--223, 2006

Digital Library

[16]

R. Zhang, V. Sachnev, and H. J. Kim, "Fast BCH syndrome coding for steganography," in Proc. Information Hiding Workshop 2009, LNCS 5806, pp. 48--58, 2009.

Digital Library

[17]

J. Fridrich, and D. Soukal, "Matrix embedding for large payloads," IEEE Trans. Information Forensics and Security, vol. 1, no. 3, pp. 390--395, 2006.

Digital Library

[18]

F. Huang, J. Huang, and Y. Q. Shi, "Detecting double JPEG compression with the same quantization matrix," IEEE Trans. Information Forensics and Security, vol. 5, no. 4, pp. 848--856, 2010.

Digital Library

[19]

T. Filler, T. Pevny, and P. Bas. BOSS (Break Our Steganography System). http://www.agents.cz/boss, July 2010.

[20]

P. Shllee, Matlab JPEG Toolbox {Online}. Available: http://www.philsallee.com/jpegtbx/index.html

[21]

J. Kodovský and J. Fridrich, "Calibration revisited," in Proc. the ACM Multimedia & Security Workshop, Princeton, New Jersey, Sep. 7--9, pp. 63--74, 2009.

Digital Library

[22]

T. Pevný, P. Bas, ad J. Fridrich, "Steganalysis by subtractive pixel adjacency matrix," IEEE Trans. Information Forensics and Security, vol. 52, no. 2, pp. 215--224, 2010

Digital Library

[23]

J. Kodovský, T. Pevný, and J. Fridrich, "Modern steganalysis can detect YASS," in Proc. SPIE, Electronic Imaging, Security Forensics of Multimedia XII, San Jose, California, Jan. 17-21, 2010, vol. 7541, pp. 0201--0211.

[24]

T. Pevný and J. Fridrich, "Merging Markov and DCT features for multi-class JPEG steganalysis," in Proc. SPIE Electronic Imaging, Security, Steganography, and Watermarking of Multimedia Contents, San Jose, California, Jan. 28 - Feb. 1, 2007, vol. 6505, pp. 03.1--03.13

[25]

F. Huang, J. Huang, and Y. Q. Shi, "An experimental study on the security performance of YASS," IEEE Trans. Information Forensics and Security, vol. 5, no. 3, pp. 374--380, 2010.

Digital Library

[26]

J. Kodovský and J. Fridrich, "Steganalysis of JPEG images using rich models," in Proc. SPIE, Electronic Imaging, Media Watermarking, Security, and Forensics of Multimedia XIV, San Francisco, CA, Jan. 23-25, 2012, vol. 8303, pp. A-1-A-13.

[27]

J. Fridrich and J. Kodovský, "Rich models for steganalysis of digital images," IEEE Trans. Information Forensics and Security, vol. 7, no. 3, pp. 868--882, 2012.

Digital Library

[28]

Q. Liu, A. Sung, and M. Qiao, "Neighboring joint density-based JPEG Steganalysis," ACM Transactions on Intelligent Systems and Technology, vol. 2, no. 2, pp. 1--16, 2011.

Digital Library

[29]

P. Sallee, "Model based methods for steganography and steganalysis," International Journal of Image Graphics, vol. 5, no. 1, pp. 167--190, 2005.

[30]

W. Luo, F. Huang, and J. Huang, "Edge adaptive image steganography based on LSB matching revisited," IEEE Trans. Information Forensics and Security, vol. 5, no. 2, pp. 201--214, 2010.

Digital Library

[31]

T. Pevný, T. Filler, and P. Bas, "Using high-dimensional image models to perform highly undetectable steganography," in Proc. Information Hiding Workshop 2010, LNCS 6387, pp. 161--177, 2010

Digital Library

[32]

K. Solanki, A. Sarkar, and B. S. Manjunath, "YASS: Yet another steganographic scheme that resists blind steganalysis," in Proc. Information Hiding Workshop 2007, LNCS 4567, pp. 16--31, 2007.

Digital Library

[33]

A. Sarkar, K. Solanki, and B. S. Manjunath, "Further study on YASS: Steganography based on randomized embedding to resist blind steganalysis," in Proc. SPIE Electronic Imaging, Security, Steganography, and Watermarking of Multimedia Contents IX, 2008, vol. 6819, pp. 17.1--17.11.

[34]

J. Kodovský, J. Fridrich and V. Holub, "Ensemble calssifiers for steganalysis of digital media," IEEE Trans. Information Forensics and Security, vol. 2, no. 7, pp. 432--444, 2012

Digital Library

Cited By

Jeyapradha M (2023)Advanced Information Securing by Combining Fortified Binary Image Steganography and Asymmetric Encryption StandardInternational Journal of Advanced Research in Science, Communication and Technology10.48175/IJARSCT-8089(175-178)Online publication date: 7-Feb-2023
https://doi.org/10.48175/IJARSCT-8089
Diouf BDiop IFall PDolo BDiop ADiouf MKhouma OFarssi STall K(2022)JPEG Steganography Based on Successive Cancellation Decoding of Polar Codes2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)10.1109/IRASET52964.2022.9738088(1-6)Online publication date: 3-Mar-2022
https://doi.org/10.1109/IRASET52964.2022.9738088
Zhao XZhu JYu H(2020)On More Paradigms of SteganalysisCyber Warfare and Terrorism10.4018/978-1-7998-2466-4.ch045(723-740)Online publication date: 2020
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Index Terms

Distortion function designing for JPEG steganography with uncompressed side-image
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks

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cover image ACM Conferences

IH&MMSec '13: Proceedings of the first ACM workshop on Information hiding and multimedia security

June 2013

242 pages

ISBN:9781450320818

DOI:10.1145/2482513

General Chair:
William Puech
LIRMM & University of Montpellier, France
,
Program Chairs:
Marc Chaumont
LIRMM & University of Nimes, France
,
Jana Dittmann
Otto-von-Guericke University, Germany
,
Patrizio Campisi
University of Roma TRE, Italy

Copyright © 2013 ACM.

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Published: 17 June 2013

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IH&MMSec '13

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SIGMM

IH&MMSec '13: ACM Information Hiding and Multimedia Security Workshop

June 17 - 19, 2013

Montpellier, France

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IH&MMSec '13 Paper Acceptance Rate 27 of 74 submissions, 36%;

Overall Acceptance Rate 128 of 318 submissions, 40%

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Cited By

Jeyapradha M (2023)Advanced Information Securing by Combining Fortified Binary Image Steganography and Asymmetric Encryption StandardInternational Journal of Advanced Research in Science, Communication and Technology10.48175/IJARSCT-8089(175-178)Online publication date: 7-Feb-2023
https://doi.org/10.48175/IJARSCT-8089
Diouf BDiop IFall PDolo BDiop ADiouf MKhouma OFarssi STall K(2022)JPEG Steganography Based on Successive Cancellation Decoding of Polar Codes2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)10.1109/IRASET52964.2022.9738088(1-6)Online publication date: 3-Mar-2022
https://doi.org/10.1109/IRASET52964.2022.9738088
Zhao XZhu JYu H(2020)On More Paradigms of SteganalysisCyber Warfare and Terrorism10.4018/978-1-7998-2466-4.ch045(723-740)Online publication date: 2020
https://doi.org/10.4018/978-1-7998-2466-4.ch045
Bao ZGuo YLi XZhang YXu MLuo X(2019)RETRACTED ARTICLE: A robust image steganography based on the concatenated error correction encoder and discrete cosine transform coefficientsJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-019-01345-811:5(1889-1901)Online publication date: 11-Jun-2019
https://doi.org/10.1007/s12652-019-01345-8
Liu GHuang FLi Z(2019)Designing adaptive JPEG steganography based on the statistical properties in spatial domainMultimedia Tools and Applications10.1007/s11042-018-6747-178:7(8655-8665)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1007/s11042-018-6747-1
Liu GHuang FChen QLi Z(2018)A New Universal Steganalyzer for JPEG ImagesMachine Learning and Intelligent Communications10.1007/978-3-319-73564-1_15(145-157)Online publication date: 21-Jan-2018
https://doi.org/10.1007/978-3-319-73564-1_15
Hu HZuo XZhang WYu N(2018)Covert Communication by Exploring Statistical and Linguistical Distortion in TextCloud Computing and Security10.1007/978-3-030-00015-8_25(288-301)Online publication date: 13-Sep-2018
https://doi.org/10.1007/978-3-030-00015-8_25
Wedaj FKim SKim HHuang F(2017)Improved reversible data hiding in JPEG images based on new coefficient selection strategyEURASIP Journal on Image and Video Processing10.1186/s13640-017-0206-12017:1Online publication date: 6-Sep-2017
https://doi.org/10.1186/s13640-017-0206-1
Huanhuan HXin ZWeiming ZNenghai Y(2017)Adaptive Text Steganography by Exploring Statistical and Linguistical Distortion2017 IEEE Second International Conference on Data Science in Cyberspace (DSC)10.1109/DSC.2017.16(145-150)Online publication date: Jun-2017
https://doi.org/10.1109/DSC.2017.16
Zhao XZhu JYu H(2016)On More Paradigms of SteganalysisInternational Journal of Digital Crime and Forensics10.4018/IJDCF.20160401018:2(1-15)Online publication date: 1-Apr-2016
https://dl.acm.org/doi/10.4018/IJDCF.2016040101
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