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Collusion Secure Convolutional Spread Spectrum Fingerprinting

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Digital Watermarking (IWDW 2005)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 3710))

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Abstract

Digital Fingerprinting is a technique for the merchant who can embed unique buyer identity marks into digital media copy and also makes it possible to identify ’traitors’ who redistribute their illegal copies. This paper first discusses the collusion-resistant properties of spread-spectrum sequence against malicious attacks such as collusion combination, collusion average and additive noise. A novel two-layers secure fingerprinting scheme is then presented by concatenating the spread-spectrum code with a convolutional code. Moreover, Viterbi algorithm is improved by using Optional Code Set. The code length, collusion security and performance are proved and analyzed. As the results, the proposed scheme for perceptual media has shorter fingerprinting length and achieves optimal traitor searching.

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References

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© 2005 Springer-Verlag Berlin Heidelberg

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Zhu, Y., Feng, D., Zou, W. (2005). Collusion Secure Convolutional Spread Spectrum Fingerprinting. In: Barni, M., Cox, I., Kalker, T., Kim, HJ. (eds) Digital Watermarking. IWDW 2005. Lecture Notes in Computer Science, vol 3710. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11551492_6

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  • DOI: https://doi.org/10.1007/11551492_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28768-1

  • Online ISBN: 978-3-540-32052-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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