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This paper proposes codes that achieve the fundamental capacity limits of digital fingerprinting subject to mean-squared distortion constraints on the fingerprint embedder and the colluders. We first show that the traditional method of fingerprint decoding by thresholding correlation statistics falls short of this goal: reliable performance is impossible at code rates greater than some value C1 that...
Information-theoretic performance limits of digital fingerprinting systems subject to almost-sure squared-error distortion constraints on the fingerprint embedder and the colluders are derived in this paper. The rate of the fingerprinting code is R = 1/N log M where N is codelength and M is the number of users. No assumption is made on the host signal statistics, but the collusion channel is also...
Digital fingerprinting aims at protecting multimedia contents from illegal redistribution by embedding imperceptible fingerprints identifying the users. We propose two approaches for building fingerprinting codes that accommodate millions of users and resist tens of colluders. These approaches are based on recent information-theoretic analyses of good fingerprinting codes in two regimes: (1) very...
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