Achieving non-ambiguity of quantization based watermarking

Xiangui Kang, Yun Q. Shi, Jiwu Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The ambiguity attack is to derive a valid watermark from a medium to defeat the ownership claim of the real owner. Most of the research suggests that it is difficult to design a provably secure non-ambiguity watermarking without a trusted third party. Recently, Li and Chang have provided a specific blind additive spread spectrum watermarking scheme as an example that is provably non-ambiguous. However, the proposed watermarking needs the length of watermark n>3.07 × 109 according to our analysis. In this paper, a framework for quantization based watermarking schemes and non-blind spread spectrum watermarking scheme to achieve non-ambiguity is proposed. As a result, many of the existent watermarking schemes can achieve provable non-invertibility via using this framework, and an non-ambiguity ownership verification protocol without a trusted third party may be constructed. We have obtained the close form solution of false positive rate for the underlying quantization based schemes and spread spectrum watermarking schemes (both blind and non-blind). The length of key of pseudo-random sequence generator (PRSG) is extended to m = c·n, the cardinality of the valid watermark set is extended to |W

Original languageEnglish (US)
Title of host publicationSecurity, Steganography, and Watermarking of Multimedia Contents VIII - Proceedings of SPIE-IS and T Electronic Imaging
DOIs
StatePublished - Apr 17 2006
EventSecurity, Steganography, and Watermarking of Multimedia Contents VIII - San Jose, CA, United States
Duration: Jan 16 2006Jan 19 2006

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6072

Other

OtherSecurity, Steganography, and Watermarking of Multimedia Contents VIII
Country/TerritoryUnited States
CitySan Jose, CA
Period1/16/061/19/06

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Applied Mathematics
  • Electrical and Electronic Engineering
  • Computer Science Applications

Keywords

  • Digital right management
  • Non-ambiguity
  • Non-invertibility
  • Quatization
  • Watermarking

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