Coin-based Anonymous Fingerprinting Scheme with Automatic Identification of Redistributors.
Shingo Okamura, Maki Yoshida, Toru Fujiwara · 2005
As the markets of digital contents over computer networks become more popular, illegal redistribution of contents by a buyer becomes the more serious problem. To deter illegal redistribution, various fingerprinting schemes have been proposed. The fingerprinting schemes enable merchants to embed information which identifies the original buyer to the purchased content. Identifying the original buyer from the confiscated content deters buyers from redistributing contents. To protect honest buyer’s privacy, a certain type of fingerprinting schemes, called an anonymous fingerprinting scheme, allows the buyers purchasing fingerprinted contents anonymously. The anonymous fingerprinting schemes involve the registration center to which every buyer registers before purchasing contents. In most of the anonymous fingerprinting schemes, the merchant has to cooperate with the registration center to identify the buyer from the confiscated content. To identify the buyer speedily, it is desirable that the merchant needs not to cooperate with the registration center. This feature is called the automatic identification. In this paper, an efficient anonymous fingerprinting scheme with automatic identification is proposed. To realize the automatic identification, personal information of the buyer is embedded