Collusion Secure Convolutional Spread Spectrum Fingerprinting

  • Yan Zhu
  • Dengguo Feng
  • Wei Zou
Conference paper

DOI: 10.1007/11551492_6

Volume 3710 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
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

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.

Keywords

Digital fingerprinting Collusion secure Spread spectrum Convolutional code 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Yan Zhu
    • 1
    • 2
  • Dengguo Feng
    • 2
  • Wei Zou
    • 1
  1. 1.Institute of Computer Science and TechnologyPeking UniversityBeijingChina
  2. 2.State Key Laboratory of Information SecurityThe Chinese Academy of SciencesBeijingChina