Estimation of Collusion Attack in Bias-based Binary Fingerprinting Code

Yasui, Tatsuya; Kuribayashi, Minoru; Funabiki, Nobuo; Echizen, Isao

doi:10.23919/apsipa.2018.8659681

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2020

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“…We have developed an effective estimator for these parameters that uses the characteristics of the discretized probabilistic distribution of the Nuida code. A preliminary version of this paper appeared in the proceedings of APSIPA 2018 [17]. This estimator has two steps.…”

Section: Introductionmentioning

confidence: 99%

Near-Optimal Detection for Binary Tardos Code by Estimating Collusion Strategy

Yasui

Kuribayashi

Funabiki

et al. 2020

IEEE Trans.Inform.Forensic Secur.

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A previously proposed optimal detector for biasbased fingerprinting codes such as Tardos and Nuida requires two kinds of important information: the number of colluders and the collusion strategy used to generate the pirated codeword. An estimator has now been derived for these two parameters. The bias in the pirated codeword is measured by observing the number of zeros and ones and compared with possible bias patterns calculated using information about the collusion strategy and number of colluders. Computer simulation demonstrated that the collusion strategy and number of colluders can be estimated with high probability and that the traceability of a detector using the proposed estimator is extremely close to being optimal.

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Section: Introductionmentioning

confidence: 99%