一种数字内容侵权散布与取证模型

结合社交网络广泛的开放特性及非对称数字水印技术不易泄漏密钥的特点,提出了一种数字内容侵权散布与取证模型.利用非对称数字水印算法加载不可剥离版权信息来满足不易伪造性、强抗攻击性的要求.对网络传输过程中被攻击的数字内容提取水印,并转换成频域值,再通过聚类算法完成侵权信息的提取.最后对模型性能进行仿真分析,结果表明该模型具有较高的安全性及取证完整度,从而防止了非法拷贝与扩散,保护了知识版权.

A Method of the Digital Content Tort Distribute and Forensics

By combining with characteristics of social network open widely and asymmetric digital watermarking technology leakage keys difficultly, a method of the digital content tort distribute and forensics is presented. It uses asymmetric digital watermarking algorithm loading the inseparable of copyright information to meet the requirements of difficult to be forged and quite good attack-resisting capability. Watermarks are extracted from the digital contents which have been attacked in the process of network transmission, and are transformed into frequency domain, then extract tort information through the clustering algorithm. Finally, this method is simulated and analyzed, results show that it has higher security and forensics integrity and can prevent illegal copy and proliferation, so that protects of intellectual copyright rights.