Optimal probabilistic fingerprint codes

  • Authors:
  • Gábor Tardos

  • Affiliations:
  • Simon Fraser University, Burnaby, BC, Canada

  • Venue:
  • Journal of the ACM (JACM)
  • Year:
  • 2008

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Abstract

We construct binary codes for fingerprinting digital documents. Our codes for n users that are ε-secure against c pirates have length O(c2log(n/ε)). This improves the codes proposed by Boneh and Shaw [1998] whose length is approximately the square of this length. The improvement carries over to works using the Boneh--Shaw code as a primitive, for example, to the dynamic traitor tracing scheme of Tassa [2005]. By proving matching lower bounds we establish that the length of our codes is best within a constant factor for reasonable error probabilities. This lower bound generalizes the bound found independently by Peikert et al. [2003] that applies to a limited class of codes. Our results also imply that randomized fingerprint codes over a binary alphabet are as powerful as over an arbitrary alphabet and the equal strength of two distinct models for fingerprinting.