An Audio Information Hiding Algorithm with High-Capacity Which Based on Chaotic and Wavelet Transform

TAN Liang; WU Bo; LIU Zhen; ZHOU Ming-tian

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An Audio Information Hiding Algorithm with High-Capacity Which Based on Chaotic and Wavelet Transform

更新时间：2025-07-16

- An Audio Information Hiding Algorithm with High-Capacity Which Based on Chaotic and Wavelet Transform
- Acta Electronica Sinica Vol. 38, Issue 8, Pages: 1812-1818(2010)
- 作者机构：
  
  1. 四川省可视化计算与虚拟现实重点实验室,四川师范大学计算机学院,四川,成都,610068
  2. 中国科学院计算技术研究所,北京,100080
  3. 电子科技大学计算机科学与工程学院,四川,成都,610054
  4. 四川省可视化计算与虚拟现实重点实验室四川师范大学计算机学院四川成都,610068
  5. 中国科学院计算技术研究所北京,100080
  6. 电子科技大学计算机科学与工程学院四川成都,610054
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP311
- Published：2010
- 稿件说明：
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TAN Liang, WU Bo, LIU Zhen, et al. An Audio Information Hiding Algorithm with High-Capacity Which Based on Chaotic and Wavelet Transform[J]. Acta Electronica Sinica, 2010, 38(8): 1812-1818.
DOI：

TAN Liang, WU Bo, LIU Zhen, et al. An Audio Information Hiding Algorithm with High-Capacity Which Based on Chaotic and Wavelet Transform[J]. Acta Electronica Sinica, 2010, 38(8): 1812-1818. DOI：

摘要

音频信息隐藏的主要原理是利用人耳听觉系统的某些特性

将秘密信息隐藏到普通的音频数据流中以达到隐蔽通信的目的.提出了一种基于混沌和小波变换的大容量音频隐藏算法.该算法首先利用混沌序列良好的伪随机特性对秘密信息进行置乱加密预处理;然后利用人耳对音频的采样倒置并不敏感

可以通过倒置的方法改变载体信息小波系数正负极性的特点

将加密后的秘密信息通过一对一地变更小波域高低频部分对应位正负极性的方法隐藏到载体信息中.实验结果表明

该算法不仅具有良好的不可感知性和鲁棒性

能够抵御噪声攻击、重采样攻击、重量化攻击以及MP3压缩攻击等

而且信息隐藏容量大

可实现盲检测.

Abstract

Audio information hiding hides the secret message into the audio data flows by some characteristics of human auditory system.An audio information hiding algorithm with high-capacity which based on chaotic and wavelet transform is proposed

which

scrambles the secret message by chaotic sequences

and then one-to-one hides those into the high and low frequency of the wavelet field of the cover message by changing the cover message’s wavelet domain coefficient’s polarity based on the features that audio sample dots inversion has little influence on the human hearing.Experimental results show that this algorithm not only has good imperceptibility and is robust against different kinds of attacks

such as noise adding

re-quantizing

re-sampling

MP3 compression

and so on

but also has high-capacity

and can realize the blind detection.

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Related Institution

Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology

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