一种基于树结构的高斯分布扩频指纹嵌入技术的方法研究  

Research on Method for Spread Spectrum Fingerprints Embedding Following Gaussian Based Tree-Structure

作　　者：赵慧民[1] 张惠乐[1] 胡学骏[1] 

机构地区：[1]佛山科学技术学院机电学院,广东佛山528000

出　　处：《中山大学学报（自然科学版）》2006年第1期42-45,共4页Acta Scientiarum Naturalium Universitatis Sunyatseni

基　　金：广东省自然科学基金资助项目(04105503);佛山市科技发展专项基金资助项目(04010052)

摘　　要：数字指纹是目前保护多媒体内容不受非法拷贝分配的最新技术。一定条件下,多媒体拷贝内容能够有效跟踪非法用户并抗击共谋攻击是其应用的关键技术。在多播环境下,考虑带宽影响研究了一种基于树结构的扩频指纹嵌入系统。该系统在高斯分布情况下,对一定的共谋攻击者,系统俘获其的概率比正交扩频指纹系统提高了约40%,从而增强了追踪非法用户的能力,进一步提高了指纹加密系统的鲁棒性。Digital fingerprint is a new technology to protect multimedia content from illegal copies and redistribution. Under stringent constraints, it is crucial that fingerprinted multimedia copies can resistance collusion attacks in streaming applications. The spread spectrum fingerprints embedding is researched based on tree-structure at muhicast following Gaussian with bandwidth requirement. Compared with orthogonal spread spectrum fingerprints embedding technology, the system will be increase of 40% for the probability of capturing colluders depending on the number of users. Therefore, the system improves performance for tracing colluders and further achieves robustness against collusion attacks.

关 键 词：树结构 扩频 高斯分布 指纹系统 多媒体视频流 

分 类 号：TN918[电子电信—通信与信息系统]