Schäfer, Marcel ; Mair, Sebastian ; Berchtold, Waldemar ; Steinebach, Martin (2015)
Universal Threshold Calculation for Fingerprinting Decoders using Mixture Models.
Portland, Oregon
doi: 10.1145/2756601.2756611
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
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.
Typ des Eintrags: | Konferenzveröffentlichung |
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Erschienen: | 2015 |
Autor(en): | Schäfer, Marcel ; Mair, Sebastian ; Berchtold, Waldemar ; Steinebach, Martin |
Art des Eintrags: | Bibliographie |
Titel: | Universal Threshold Calculation for Fingerprinting Decoders using Mixture Models |
Sprache: | Deutsch |
Publikationsjahr: | Juni 2015 |
Verlag: | ACM |
(Heft-)Nummer: | 3 |
Buchtitel: | IH&MMSec '15 Proceedings of the 3rd ACM Workshop on Information Hiding and Multimedia Security |
Veranstaltungsort: | Portland, Oregon |
DOI: | 10.1145/2756601.2756611 |
Kurzbeschreibung (Abstract): | 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. |
Freie Schlagworte: | collusion attacks, digital watermarking, fingerprinting codes, mixture models, traitor |
ID-Nummer: | TUD-CS-2015-12084 |
Fachbereich(e)/-gebiet(e): | Profilbereiche > Cybersicherheit (CYSEC) Profilbereiche |
Hinterlegungsdatum: | 14 Aug 2017 14:09 |
Letzte Änderung: | 15 Mai 2018 10:33 |
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