Abstract
The estimation of the false-positive probability has been an important concern for fingerprinting codes, and the formula of the probability has been derived under a restricted assumption and statistic model. In this paper, we first analyze the statistic behavior of the value of score derived from the correlation between a pirated codeword and codewords of all users when some bits are flipped. Then, the derivation of the score is adaptively designed to consider the attack model such that a pirated codeword is distorted by additive white Gaussian noise. The traceability and probability of false-positive are estimated by Monte-Carlo simulation, and the validity of the Gaussian approximation for the distribution of score is evaluated for probabilistic fingerprinting codes. © 2010 Springer-Verlag.
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CITATION STYLE
Kuribayashi, M. (2010). Experimental assessment of probabilistic fingerprinting codes over AWGN channel. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6434 LNCS, pp. 117–132). Springer Verlag. https://doi.org/10.1007/978-3-642-16825-3_9
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