Abstract
Fingerprinting schemes use digital watermarks to determine originators of unauthorized/pirated copies. Multiple users may collude and collectively escape identification by creating an average or median of their individually watermarked copies. Previous fingerprint code design including ACC (anti-collusion code) cannot support large number of users, which is a common situation in ubiquitous contents distribution environment. We propose a practical scalability solution, which extends previous ACC codebook generation scheme. We design a scalable ACC scheme using a Gaussian distributed random variable to increase the robustness over average and median attack. We implemented our scheme using human visual system based watermarking scheme, and the fingerprinted copy of standard test images show good perceptual quality. The result shows good collusion detection performance over average and median collusion attacks for large scale user population.
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References
Yacobi, Y.: Improved Boneh-Shaw content fingerprinting. In: Proc. CTRSA 2001, pp. 378–391 (2001)
Trappe, W., Wu, M., Wangm, Z.J., Liu, K.J.R.: Anti-collusion fingerprinting for multimedia. IEEE Trans. Signal Proc. 51, 1069–1087 (2003)
Boneh, D., Shaw, J.: Collusion-secure fingerprinting for digital data. IEEE Trans. Inform. Theory 44, 1897–1905 (1998)
Colbourn, C.J., Dinitz, J.H.: The CRC Handbook of Combinatorial Design. CRC Press, Boca Raton, FL (1996)
Voloshynovskiy, S., Herrige, A., Baumgaertner, N., Pun, T.: A stochastic approach to content adaptive digital image watermarking. In: Pfitzmann, A. (ed.) IH 1999. LNCS, vol. 1768, pp. 1–236. Springer, Heidelberg (2000)
Watson, A.B., Borthwick, R., Taylor, M.: Image quality and Conf. Human Vision, Visual Processing, and Digital Display VI (1997)
Kim, S.W., Suthaharan, S., Lee, H.K., Rao, K.R.: An image watermarking scheme using visual model and BN distribution. IEE Elect. Letter 35(3) (February 1999)
Zhao, H., Wu, M., Wang, J., Ray Liu, K.J.: Nonlinear collusion attacks on independent Fingerprints for multimedia. In: ICASSP, vol. 5, pp. 664–667 (April 2003)
Rohatgi, V.K.: An Introduction to Probability Theory and Mathematical Statistics. John Wiley & Sons, Inc., Chichester (1976)
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© 2006 Springer-Verlag Berlin Heidelberg
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Seol, JM., Kim, SW. (2006). Scalable Fingerprinting Scheme Using Statistically Secure Anti-collusion Code for Large Scale Contents Distribution. In: Sha, E., Han, SK., Xu, CZ., Kim, MH., Yang, L.T., Xiao, B. (eds) Embedded and Ubiquitous Computing. EUC 2006. Lecture Notes in Computer Science, vol 4096. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11802167_57
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DOI: https://doi.org/10.1007/11802167_57
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36679-9
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