Error- and Collusion-Secure Fingerprinting for Digital Data
IH '99 Proceedings of the Third International Workshop on Information Hiding
Collusion Secure q-ary Fingerprinting for Perceptual Content
DRM '01 Revised Papers from the ACM CCS-8 Workshop on Security and Privacy in Digital Rights Management
Symmetric Tardos fingerprinting codes for arbitrary alphabet sizes
Designs, Codes and Cryptography
Optimal probabilistic fingerprint codes
Journal of the ACM (JACM)
On the Design and Optimization of Tardos Probabilistic Fingerprinting Codes
Information Hiding
An improvement of discrete Tardos fingerprinting codes
Designs, Codes and Cryptography
Optimization of Tardos's fingerprinting codes in a viewpoint of memory amount
IH'07 Proceedings of the 9th international conference on Information hiding
Tardos's fingerprinting code over AWGN channel
IH'10 Proceedings of the 12th international conference on Information hiding
Collusion-secure fingerprinting for digital data
IEEE Transactions on Information Theory
Tardos Fingerprinting is Better Than We Thought
IEEE Transactions on Information Theory
A new soft decision tracing algorithm for binary fingerprinting codes
IWSEC'11 Proceedings of the 6th International conference on Advances in information and computer security
Bias equalizer for binary probabilistic fingerprinting codes
IH'12 Proceedings of the 14th international conference on Information Hiding
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The estimation of the false-positive probability has been an important concern for fingerprinting codes, and the formula of the probability has been derived under a restricted assumption and statistic model. In this paper, we first analyze the statistic behavior of the value of score derived from the correlation between a pirated codeword and codewords of all users when some bits are flipped. Then, the derivation of the score is adaptively designed to consider the attack model such that a pirated codeword is distorted by additive white Gaussian noise. The traceability and probability of false-positive are estimated by Monte-Carlo simulation, and the validity of the Gaussian approximation for the distribution of score is evaluated for probabilistic fingerprinting codes.