Digital finger print generating and tracking method

Abstract

The invention discloses a digital fingerprint generating and tracking algorithm. The digital fingerprint generating method comprises constructing fingerprint codeword via three-level cascaded encoding means, namely using anti-collusion code as inner code to construct characteristic fingerprint code at first, then using error-correcting code as outer code to construct unit fingerprint code, finally serially connecting a plurality of unit fingerprint codes to construct joint fingerprint code; the digital fingerprint tracking method comprises using soft-judge tracking means to judge whether the user participates the collusion, namely carrying out quantization calculation on the user collusion-participating degree, and judging the collusion user according to the user collusion-participating degree. The invention is suitable for being embedded in digital copyright protection of digital works with small capacity, also capable of being applied in protection of pay-data under circumstances such as digital TV, digital broadcast, VOD, DVB, etc.

Description

technical field [0001] The invention belongs to the technical field of digital security, and in particular relates to a digital fingerprint generation method and a corresponding tracking method for copyright protection of digital works and traitor tracking. Background technique [0002] In recent years, the rapid development of information technology and the wide application of e-commerce based on it have expanded the scope of dissemination of various texts, pictures, videos and other works through the Internet unprecedentedly, bringing new opportunities for creators and publishers. But at the same time, it is also easy for people to illegally copy and distribute products that exist in digital form. How to carry out copyright protection for digital products has become one of the core issues of copyright protection in the information age. [0003] The core idea of ​​digital fingerprint technology is to mark each copy of a protected work with a unique fingerprint, so that eac...

AI Technical Summary

Problems solved by technology

In practical applications, users can not only conduct collusion attacks on fingerprint code information, but also intentionally or unintentionally conduct robust attacks on the fingerprint embedding layer, such as filtering, compression, etc., which may cause fingerprint information to be wrong. code

At the same time, in the process of media data transmission through the network, the partial loss and bit error of the fingerprint code will also be caused by network packet loss.

The existing fingerprint encoding algorithm will cause a high probability of misjudgment in the case of a random error in the wrong transmission. At the same time, the loss of part of the fingerprint code will lead to the failure of the entire fingerprint code tracking.

[0009] (2) The code word is too long to be widely used

However, the hidden capacity of digital works is limited, exceeding a certain amount of data embedding will directly affect the quality of digital works, such as reducing the quality of movie images, reducing the playback quality of audio files, etc.

However, the existing fingerprint encoding algorithm is only suitable for large data volume services, such as CD and other solidified data content, because the codeword is too long, but in the current network video service business, text digital work protection, etc. Embedded business with small capacity Can't get practical application

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