结合ECC的随机序列指纹编码方案及应用

由于办公自动化和网络化的不断发展，在政府和企业内网中对涉密电子文档保护的重要性日益凸显。传统基于密码学的保护手段的缺陷也逐步显露，不能在解密后对文档进行保护，以及对内部犯罪问题的物理防范。将数字指纹作为文档保护的补充技术，增强信息可控性，在出现非法拷贝时能追踪违规者，使文档保护更加有效。本文将纠错码ECC运用到指纹编码中，编码下层使用传统编码方式，再对生成的指纹序列进行卷积编码，得到最终的用户指纹序列。用户指纹具有更好的鲁棒性，能减小误判率。

Scheme and Application on Digital Fingerprinting Based on Random Sequence and ECC

Because of development of office automation, the importance of secret document protection is becoming urgent. The disadvantages of traditional protecting techniques based on cryptography emerged. They can not protect documents after decryption or avoid misdeed of staff. In this paper, digital fingerprinting becomes a supplement. User fingerprints are embedded in order to strengthen information controllable. When illegal copy appeared, the distributor can track offenders so that document protection more effective. Here ECC is used in fingerprint code, the conventional code is used in the under layer. Then use convolution encoder to deal with the fingerprint sequences and get the output as the final fingerprint for users. In this way, the fingerprints are more robust and mistake rate is reduced.