Asymptotically false-positive-maximizing attack on non-binary tardos codes

  • Authors:
  • Antonino Simone;Boris Škorić

  • Affiliations:
  • Eindhoven University of Technology;Eindhoven University of Technology

  • Venue:
  • IH'11 Proceedings of the 13th international conference on Information hiding
  • Year:
  • 2011

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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.