ACM Home Page
Please provide us with feedback. Feedback
Exploiting self-similarities to defeat digital watermarking systems: a case study on still images
Full text PdfPdf (1.27 MB)
Source International Multimedia Conference archive
Proceedings of the 2004 workshop on Multimedia and security table of contents
Magdeburg, Germany
SESSION: Watermarking algorithms table of contents
Pages: 133 - 142  
Year of Publication: 2004
ISBN:1-58113-854-7
Authors
Gwenaël Doërr  Eurécom Institute, Sophia-Antipolis Cédex, France
Jean-Luc Dugelay  Eurécom Institute, Sophia-Antipolis Cédex, France
Lucas Grangé  Eurécom Institute, Sophia-Antipolis Cédex, France
Sponsors
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 6,   Downloads (12 Months): 77,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1022431.1022455
What is a DOI?

ABSTRACT

Unauthorized digital copying is a major concern for multi-media content providers. Since copyright owners lose control over content distribution as soon as data is decrypted or unscrambled, digital watermarking has been introduced as a complementary protection technology. In an effort to anticipate hostile behaviors of adversaries, the research community is constantly introducing novel attacks to benchmark watermarking systems. In this paper, a generic block replacement attack will be presented. The underlying assumption is that multimedia content is highly repetitive. It should consequently be possible to exploit the self-similarities of the signal to replace each signal block with another perceptually similar one. Alternative methods to compute such a valid placement block will be surveyed in this paper. Then,experimental results on still images will be presented to the efficiency of the presented attack in comparison with other reference image processing operations. Finally, a will be conducted to exhibit the properties that a watermark should have to resist to this attack.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
 
2
Certimark. http://www.certimark.org.
 
3
Checkmark. http://watermarking.unige.ch/checkmark.
 
4
 
5
I. Cox and M. Miller. Preprocessing media to facilitate later insertion of a watermark. In Proceedings of the International Conference on Digital Signal Processing volume 1, pages 67--70, July 2002.
 
6
 
7
G. Doërr and J.-L. Dugelay. New intra-video collusion attack using mosaicing. In Proceedings of the IEEE International Conference on Multimedia and Expo volume II, pages 505--508, July 2003.
 
8
G. Doërr and J.-L. Dugelay. Secure background watermarking based on video mosaicing. In Security, Steganography and Watermarking of Multimedia Contents VI volume 5306 of Proceedings of SPIE January 2004.
 
9
G. Doërr and J.-L. Dugelay. Security pitfalls of frame-by-frame approaches to video watermarking. IEEE Transactions on Signal Processing, Supplement on Secure Media October 2004.
 
10
DVD Copy Control Association.http://www.dvdcca.org.
 
11
 
12
M. Gharavi-Alkhansari and T. Huang. A fractal-based image block-coding algorithm. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing volume V, pages 345--348, April 1993.
 
13
F. Hartung, J. Su, and B. Girod. Spread spectrum watermarking: Malicious attacks and counterattacks. In Security and Watermarking of Multimedia Contents volume 3657 of Proceedings of SPIE pages 147--158, January 1999.
 
14
A. Herrigel, S. Voloshynovskiy, and Y. Rytsar. The watermark template attack. In Security and Watermarking of Multimedia Contents III volume 4314 of Proceedings of SPIE pages 394--405, January 2001.
 
15
M. Holliman, W. Macy, and M. Yeung. Robust frame-dependent video watermarking. In Security and Watermarking of Multimedia Contents II volume 3971 of Proceedings of SPIE pages 186--197, January 2000.
 
16
A. Jacquin. A novel fractal block-coding technique for digital images. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing volumeIV, pages 2225--2228, April 1990.
 
17
I. Jolliffe. Principal Component Analysis Springer-Verlag, 1986.
 
18
JPEG Standard. Digital compression and coding of continuous-tone still images. In JTC1/SC29/WG1 10918-1 ISO/IEC, February 1994.
 
19
 
20
D. Kirovski and F. Petitcolas. Blind pattern matching attack on watermarking systems. IEEE Transactions on Signal Processing 51(4):1045--1053, April 2003.
 
21
D. Kirovski and F. Petitcolas. Replacement attack on arbitrary watermarking systems. In Proceedings of the ACM Digital Rights Management Workshop volume 2696 of Lecture Notes on Computer Science pages 177--189, July 2003.
 
22
M. Kutter. Watermarking resisting to translation, rotation and scaling. In Multimedia Systems and Applications volume 3528 of Proceedings of SPIE pages 423--431, November 1998.
 
23
M. Kutter and F. Petitcolas. A fair benchmark for image watermarking systems. In Security and Watermarking of Multimedia Contents volume 3657 of Proceedings of SPIE pages 226--239, January 1999.
 
24
G. Langelaar, R. Lagendijk, and J. Biemond. Removing spatial spread spectrum watermarks by nonlinear filtering. In Proceedings of the European Signal Processing Conference volume IV, pages 2281--2284, September 1998.
 
25
G. Øien,S. Lepsøy, and T. Ramstad. An inner product space approach to image coding by contractive transformations. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing volume III, pages 2773--2776, May 1991.
 
26
OpenWatermark. http://www.openwatermark.org.
 
27
Optimark. http://poseidon.csd.auth.gr/optimark.
 
28
 
29
 
30
F. Petitcolas and D. Kirovski. The blind pattern matching attack on watermarking systems. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing volume IV, pages 3740--3743, May 2002.
 
31
C. Rey. Tatouage d'Images: Gain en Robustesse et Intégrité des Images PhD thesis, Université d 'Avignon, France, February 2003.
 
32
C. Rey,G. Doërr, J.-L. Dugelay, and G. Csurka. Toward generic image dewatermarking? In Proceedings of the IEEE International Conference on Image Processing volume III, pages 633--636, September 2002.
 
33
P. Sallee. Model-based steganography. In Proceedings of the Second International Workshop on Digital Watermarking volume 2939 of Lecture Notes in Computer Science pages 154--167, October 2003.
 
34
Secure Digital Music Initiative. http://www.sdmi.org.
 
35
Stirmark. http://www.petitcolas.net/fabien/watermarking/stirmark.
 
36
J. Su and B. Girod. Power-spectrum condition for energy-efficient watermarking. IEEE Transactions on Multimedia 4(4):551--560, December 2002.
 
37
S. Voloshynovskiy, S. Pereira, A. Herrigel, N. Baumgärtner, and T. Pun. Generalized watermarking attack based on watermark estimation and perceptual remodulation. In Security and Watermarking of Multimedia Contents II volume 3971 of Proceedings of SPIE pages 358--370, January 2000.
 
38
 
39
Watermark Evaluation Testbed (WET). Contact Professor E. Delp, Purdue University, USA.
 
40
M. Wu and B. Liu. Attacks on digital watermarks. In Proceedings of 33th Asilomar Conference on Signals, Systems, and Computers volume II, pages 1508--1512, October 1999.

Collaborative Colleagues:
Gwenaël Doërr: colleagues
Jean-Luc Dugelay: colleagues
Lucas Grangé: colleagues