基于抗合谋数字指纹的叛逆者追踪研究

发布时间：2018-04-18 16:50

本文选题：抗合谋数字指纹 + 叛逆者追踪　；参考：《兰州交通大学》2016年硕士论文

【摘要】：现实社会中,随着互联网与电子商务的广泛应用,各种数字多媒体产品在网络服务器间不断地传播与分享,供广大用户访问与使用。网络资源的开放给我们带来便利的同时也带来了数字资源盗版问题,因此数字资源面临着日益严重的版权纠纷问题。为了达到数字版权保护的目的,提出了一种基于抗合谋数字指纹的叛逆者追踪算法。首先,方案生成了I码和CFF相结合的抗合谋数字指纹。对比编码的优缺点,指出CFF码在有效缩短编码长度的同时具有很强的抗干扰能力,为了提高CFF的编码效率,设计了CFF码和I码相联合的混合编码方案。本文在用户较多的情况下,混合编码具有生成效率高和指纹长度大范围缩短的优点,此外能抵御与、或、平均的合谋攻击,可以有效地进行叛逆者追踪。其次,提出了一种基于离散余弦变换和小波变换相结合的数字指纹嵌入提取算法,实现数字指纹在数字音频载体中的嵌入提取。该算法具有良好的压缩、解压能力和较好隐藏性的特点,保证数字指纹有良好的不可察觉性以及稳健性。最后,方案提出了相应的叛逆者追踪算法,通过比较提取数字指纹与嵌入原始指纹的相似度实现叛逆者追踪。为了验证生成的数字指纹方案具有较好的鲁棒性,将数字指纹嵌入到音频中,并对音频文件进行重量化,低通滤波,重采样和幅度缩放四种攻击实验,分别提取出指纹进行误码率计算。同时以音频为载体对提取出的指纹进行与、或、平均的合谋攻击,并且进行误码率判断的实验,证明方案具有很好的抗合谋能力。方案在交易双方的基础上,引入可信第三方,对发行商生成的指纹进行调制后分发给原始消费者,防止用户被不良发行商诬陷。实验证明算法能够实现叛逆者追踪,有助于打击数字音频盗版,保护数字音频知识版权。
[Abstract]:In the real society, with the wide application of Internet and e-commerce, various digital multimedia products are continuously spread and shared among network servers for users to visit and use.The opening up of network resources not only brings convenience to us, but also brings about the problem of piracy of digital resources, so digital resources are faced with increasingly serious copyright disputes.In order to achieve the purpose of digital copyright protection, a traitor tracking algorithm based on anti-collusion digital fingerprint is proposed.Firstly, the scheme generates the anti-collusion digital fingerprint combined with I code and CFF.Comparing the advantages and disadvantages of coding, it is pointed out that CFF code can effectively shorten the length of coding and has strong anti-interference ability. In order to improve the coding efficiency of CFF, a hybrid coding scheme combining CFF code and I code is designed.In the case of more users, hybrid coding has the advantages of high generation efficiency and large range reduction of fingerprint length, in addition, it can resist the collusion attacks with, or average, collusion, and can effectively track the rebels.Secondly, a digital fingerprint embedding extraction algorithm based on discrete cosine transform and wavelet transform is proposed to realize the embedding extraction of digital fingerprint in digital audio carrier.The algorithm has the characteristics of good compression, decompression ability and good concealment, and ensures that the digital fingerprint has good imperceptibility and robustness.Finally, the scheme proposes a corresponding traitor tracking algorithm, which can achieve traitor tracking by comparing the similarity between extracted digital fingerprint and embedded original fingerprint.In order to verify the robustness of the generated digital fingerprint scheme, the digital fingerprint is embedded into the audio, and the audio files are gravified, low-pass filtering, resampling and amplitude scaling.The fingerprint was extracted to calculate the bit error rate (BER).At the same time, using audio as the carrier, the extracted fingerprint is attacked with, or average collusion attack, and the error rate judgment experiment is carried out, which proves that the scheme has a good ability to resist collusion.On the basis of both sides of the transaction, the scheme introduces a trusted third party, modulates the fingerprint generated by the issuer and distributes it to the original consumer, so as to prevent the user from being framed by the bad issuer.Experiments show that the algorithm can realize traitor tracing, which is helpful to crack down on digital audio piracy and protect copyright of digital audio knowledge.
【学位授予单位】：兰州交通大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TP309

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