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3 May 2007 Anti-collusion fingerprinting scheme based on error correction ability of nonlinear combinatorial code
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Abstract
Digital fingerprinting is an available method that can identify the customer or owner of the digital media (image, video, etc) and protect the copyright of the content providers. Fingerprinting system embeds a unique fingerprint, which is the identity of the owner, into each individual copy of the original content. The monitor can detect the original user of the legal copies and track the usage of the copyrighted media content. The most serious problem to fingerprinting is how to resist the effective attack--collusion. Collusion is to use some different marked copies of the same original content and generate a new version from which the detector can't regain the correct fingerprint. In this paper we use combinatorial theory and construct nonlinear DBBD (Differential Balanced Block Design) code as fingerprint for digital media. The code is collusion-secure and has the capability of error correction which is beneficial to the robustness of the fingerprint. We also present a scheme for combining this collusion-secure fingerprinting code with a multi-resolution wavelet based watermarking mechanism. We use wavelet-watermarking techniques to embed and extract the fingerprints, and then use our detection scheme and the error correction ability of the DBBD code to find the pirates.
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Wanjun Huang and Issa M.S. Panahi "Anti-collusion fingerprinting scheme based on error correction ability of nonlinear combinatorial code", Proc. SPIE 6577, Wireless Sensing and Processing II, 65770I (3 May 2007); https://doi.org/10.1117/12.724260
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