Abstract
We use a method recently introduced by us to study accusation probabilities for non-binary Tardos fingerprinting codes. We generalize the pre-computation steps in this approach to include a broad class of collusion attack strategies. We analytically derive properties of a special attack that asymptotically maximizes false accusation probabilities. We present numerical results on sufficient code lengths for this attack, and explain the abrupt transitions that occur in these results.
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Simone, A., Škorić, B. (2011). Asymptotically False-Positive-Maximizing Attack on Non-binary Tardos Codes. In: Filler, T., Pevný, T., Craver, S., Ker, A. (eds) Information Hiding. IH 2011. Lecture Notes in Computer Science, vol 6958. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24178-9_2
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DOI: https://doi.org/10.1007/978-3-642-24178-9_2
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