Universal Threshold Calculation for Fingerprinting Decoders using Mixture Models

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

Collusion attacks on watermarked media copies are commonly countered by probabilistically generated fingerprinting codes and appropriate tracing algorithms. The latter calculates accusation scores representing the suspiciousness of the fingerprints. In a 'detect many' scenario a threshold decides which scores are associated to the colluders. This work proposes a universal method to calculate thresholds for different decoders solely with knowledge of the accusation scores from the actual attack. Applying mixture models on the scores, the threshold is set up satisfying the selected error probabilities. It is independent from the fingerprint generation and can be applied at any decoder. Also no knowledge about the number of attackers or their strategy is needed.
Original languageEnglish
Title of host publicationProceedings of the 3rd ACM Workshop on Information Hiding and Multimedia Security
Number of pages6
PublisherAssociation for Computing Machinery, Inc
Publication date17.06.2015
Pages109-114
ISBN (print)978-1-4503-3587-4
ISBN (electronic)978-1-4503-3587-4
DOIs
Publication statusPublished - 17.06.2015
EventACM Workshop on Information Hiding and Multimedia Security - 2015 - Portland, United States
Duration: 17.06.201519.06.2015
Conference number: 3
http://sigmm.org/events/acm-workshop-information-hiding-and-multimedia-security-2015

    Research areas

  • Informatics
  • Collusion attacks, Digital watermarking, Fingerprinting codes, Mixture models, Traitor tracing

DOI

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