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Universal Threshold Calculation for Fingerprinting Decoders using Mixture Models

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
Conference or Workshop Item, Bibliographie

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.

Item Type: Conference or Workshop Item
Erschienen: 2015
Creators: Schäfer, Marcel ; Mair, Sebastian ; Berchtold, Waldemar ; Steinebach, Martin
Type of entry: Bibliographie
Title: Universal Threshold Calculation for Fingerprinting Decoders using Mixture Models
Language: German
Date: June 2015
Publisher: ACM
Issue Number: 3
Book Title: IH&MMSec '15 Proceedings of the 3rd ACM Workshop on Information Hiding and Multimedia Security
Event Location: Portland, Oregon
DOI: 10.1145/2756601.2756611
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.

Uncontrolled Keywords: collusion attacks, digital watermarking, fingerprinting codes, mixture models, traitor
Identification Number: TUD-CS-2015-12084
Divisions: Profile Areas > Cybersecurity (CYSEC)
Profile Areas
Date Deposited: 14 Aug 2017 14:09
Last Modified: 15 May 2018 10:33
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