Construction and Performance Analysis of Digital Fingerprinting Code with Identifiability of All Malicious Users

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Digital fingerprinting codes are embedded in licensed digital contents for preventing illegal distribution by malicious users. Digital fingerprinting codes are usually required to have the ability to specify a part (or all) of a collusion of malicious users who generate the pirated copy.In this study we consider an information-theoretic model of the digital fingerprinting code and characterize the maximum rate of the users (the capacity of the digital fingerprinting code) such that all the malicious users in a collusion can be specified with probality close to one under a certain assumption. We also discuss the zero-error capacity of the digital fingerprinting code for the case where all the malicious users in a collusion are specified without error under certain attack models.