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基于重心的抗同步攻击的音频水印算法
引用本文:黄雄华,王宏霞,蒋伟贞,崔更申.基于重心的抗同步攻击的音频水印算法[J].自动化学报,2013,39(8):1321-1329.
作者姓名:黄雄华  王宏霞  蒋伟贞  崔更申
作者单位:1.西南交通大学信息科学与技术学院 成都 610031;
摘    要:抗同步攻击是音频水印领域公开的难题. 相对重心是音频的一个稳定的全局特征量, 对 TSM (Time scale modification)等同步攻击不敏感. 本文提出一种基于相对重心的抗同步攻击的音频水印算法,提出的算法通过量化音频的相对重心生成水印, 生成的水印由混沌序列加密后以量化的方法嵌入载体音频三级小波近似分量均值中. 为了降低同步攻击后同步位置的连续偏移, 水印嵌入提取过程采用了均匀分帧的方法. 实验结果表明提出的算法能抵抗常规信号处理操作, 同时 能抵抗20%的TSM操作(包含音调不变TSM和重采样操作)和 1/10的抖动操作, 有很好的鲁棒性.

关 键 词:音频水印    相对重心    TSM    均匀分帧
收稿时间:2011-10-24

Audio Watermarking Algorithm Against Synchronization Attacks Based on Gravity of Center
HUANG Xiong-Hua,WANG Hong-Xia,JIANG Wei-Zhen,CUI Geng-Shen.Audio Watermarking Algorithm Against Synchronization Attacks Based on Gravity of Center[J].Acta Automatica Sinica,2013,39(8):1321-1329.
Authors:HUANG Xiong-Hua  WANG Hong-Xia  JIANG Wei-Zhen  CUI Geng-Shen
Affiliation:1.School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031;2.Guangxi Key Lab of Trusted Software, Guilin University of Electronic Technology, Guilin 541004;3.School of Information Science and Technology, Jinan University, Guangzhou 510084
Abstract:It is an open difficult problem in audio watermarking field to resist synchronization attacks. An audio watermarking algorithm against synchronization attacks is proposed based on the relative gravity of center, which is a globally steady feature parameter of audio and is insensitive to time scale modification (TSM) operation and other synchronization attacks. The watermark is generated by quantifying relative gravity of center in our method. Firstly, the generated watermark is encrypted by chaos sequence and then the encrypted watermark is embedded into the third level wavelet approach coefficients of audio by quantification method. The method of dividing frame evenly is applied to embedding and extracting watermarking in this paper in order to reduce synchronization place offset continuously after synchronization attacks. Experiment results demonstrate that the proposed algorithm can resist common signal processing and 20% TSM (including pitch-invariant TSM and resampling manipulation), 1/10 dithering manipulation and has very good robustness.
Keywords:Audio watermarking  normalized gravity of center  time scale modification (TSM)  dividing frame evenly
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