Worst-case optimal fingerprinting codes for non-threshold collusion

  • Authors:
  • Takaaki Mizuki;Satoshi Nounin;Hideaki Sone;Yousuke Toyota

  • Affiliations:
  • Information Synergy Center, Tohoku University, Sendai, Japan;Sone Lab., Graduate School of Information Sciences, Tohoku University, Sendai, Japan;Information Synergy Center, Tohoku University, Sendai, Japan;KDDI R&D Laboratories Inc., Saitama, Japan

  • Venue:
  • DRMTICS'05 Proceedings of the First international conference on Digital Rights Management: technologies, Issues, Challenges and Systems
  • Year:
  • 2005

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Abstract

This paper investigates collusion-secure fingerprinting codes for digital data. Most previous works assume the threshold number of collusive users. Whereas, in order to treat a more general non-threshold collusion, we first introduce a notion of a potentially collusive family. Furthermore, we develop a novel way to measure collusion-secure codes according to combinatorial properties in a natural way. Our measurement immediately implies the definition of optimal codes. We then actually illustrate an optimal code. Finally, we give a necessary and sufficient condition for a code to be optimal by using a new notion of family-intersecting codes.