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计算机工程 ›› 2010, Vol. 36 ›› Issue (22): 155-157. doi: 10.3969/j.issn.1000-3428.2010.22.055

• 安全技术 • 上一篇    下一篇

基于极角扩展的可逆盲数据库水印算法

陶伟成,李智勇,李厚甫   

  1. (湖南大学计算机与通信学院,长沙 410082)
  • 出版日期:2010-11-20 发布日期:2010-11-18
  • 作者简介:陶伟成(1985-),男,硕士研究生,主研方向:网络与信息安全;李智勇,副教授、博士;李厚甫,硕士研究生
  • 基金资助:
    长沙市科技计划基金资助项目(K0901022-11)

Reversible and Blind Database Watermark Algorithm Based on Polar Angle Expansion

TAO Wei-cheng, LI Zhi-yong, LI Hou-fu   

  1. (College of Computer & Communication, Hunan University, Changsha 410082, China)
  • Online:2010-11-20 Published:2010-11-18

摘要: 提出一种基于极角扩展的可逆盲数据库水印算法。利用密钥作为伪随机数的种子产生伪随机数,选择水印的嵌入位置,将选择的元组属性序列与极坐标系中的点一一对应,对这些点列的极角进行扩展,嵌入水印。水印嵌入前用logistic混沌序列加密,以提高水印的安全性。水印检测时对待检测元组属性对应的极角用最低有效位方法提取水印,实现盲检测。实验结果表明,该算法对子集更改、选择、添加等攻击具有较高的鲁棒性,且能很真实地恢复出原始数据。

关键词: 极角扩展, 数据库水印, 最低有效位

Abstract: This paper proposes a reversible and blind database watermark method based on polar angle expansion. Using key as a pseudo-random number seed produces pseudo-random numbers to select the watermark embedding position. It maps these attributes to polar coordinates one by one, and embeds watermark into those points extending polar angle. It uses logistic chaotic sequence encrypt watermark to improve watermark security before watermark embedding. In order to achieve blind detection, using Least Significant Bit(LSB) method to extract the watermark. Experimental result indicates that this method has a high robustness for subset change, subset selection and subset adding attack, and also can recover the original data really.

Key words: polar angle expansion, database watermark, Least Significant Bit(LSB)

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