一种稳健的抗合谋数字指纹编码

提出了一种新的稳健的抗合谋数字指纹编码算法.该算法将Turbo码技术应用于数字指纹系统中,将BIBD抗合谋码和Turbo码纠错编码结合起来,在指纹嵌入之前对指纹进行Turbo编码,然后把指纹嵌入到符合人眼视觉特性的小波域中,在接收端采用Turbo码迭代译码算法对指纹序列进行提取.实验结果表明,该算法不仅可以抵抗合谋攻击,而且还可以抵抗数字作品在传输过程中受到的各种稳健性攻击;同时降低了指纹信息在传输过程中的误码率,提高了整个系统的抗攻击能力,并且能够有效跟踪到合谋用户.

A Robust Anti- collusion Coding in Digital Fingerprinting System

A novel robust anti-collusion encoding scheme is proposed,which combines balanced incomplete design(BIBD) anti-collusion code with Turbo error correcting code.The fingerprints are coded by Turbo code before embedding and added to the wavelet domain which is suitable for the visual human visual.In the receiving end,the Turbo iterative decoding is adopted to extract the fingerprints.The experimental results indicate that the proposed algorithm can successfully resist not only the collusion attacks by colluders,but also the other attacks such as noise when the digital products are transmitted in the channel.Meanwhile it can decrease the bit error rate(BER) of the fingerprints,enhance the overall resistance of the system and effectively identify all the illegal users by tracing system.