A robust audio steganography algorithm based on differential evolution

Zhaopin SU; Chaoyong SHEN; Guofu ZHANG; Feng YUE; Donghui HU

doi:10.11959/j.issn.1000-0801.2021246

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A robust audio steganography algorithm based on differential evolution

Research and Development | 更新时间：2024-06-05

- A robust audio steganography algorithm based on differential evolution
- Telecommunications Science Vol. 37, Issue 11, Pages: 64-74(2021)
- 作者机构：
  
  1. 合肥工业大学计算机与信息学院，安徽合肥 230601
  2. 合肥工业大学工业安全应急技术安徽省重点实验室，安徽合肥 230601
  3. 合肥工业大学智能互联系统安徽省实验室，安徽合肥 230009
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2021246
  CLC： TP309.2
- Published Online：2021-11，
  
  Published：20 November 2021
- 稿件说明：
移动端阅览
Zhaopin SU, Chaoyong SHEN, Guofu ZHANG, et al. A robust audio steganography algorithm based on differential evolution[J]. Telecommunications science, 2021, 37(11): 64-74.
DOI：

Zhaopin SU, Chaoyong SHEN, Guofu ZHANG, et al. A robust audio steganography algorithm based on differential evolution[J]. Telecommunications science, 2021, 37(11): 64-74. DOI： 10.11959/j.issn.1000-0801.2021246.

摘要

音频隐写是将秘密信息隐藏到音频载体中，已成为信息隐藏领域的一个研究热点。已有研究大多聚焦最小化隐写失真，却以牺牲隐写容量为代价，且往往被一些常规信号攻击后难以正确提取秘密信息。为此，基于扩频技术，首先，分析了隐写参数（分段隐写强度和分段隐写容量）与不可感知性和鲁棒性的关系，并构建了一种以分段隐写强度、分段隐写容量为自变量，以不可感知性和隐写容量为优化目标，以信噪比为约束条件的音频隐写多目标优化模型；然后，提出了一种基于差分进化的鲁棒音频隐写算法，设计了相应的编码、适应度函数、交叉和变异算子。对比实验结果表明，所提隐写算法能够在保证不可感知性和抗隐写分析能力的前提下达到更好的鲁棒性，可以有效抵御一些常规信号处理攻击。

Abstract

Audio steganography is to hide secret information into the audio carrier and has become a research hotspot in the field of information hiding.Most of the existing studies focus on minimizing distortion at the expense of steganography capacity

and it is often difficult for them to extract secret information correctly after some common signal processing attacks.Therefore

based on the spread spectrum technology

firstly

the relationship between steganography parameters (i.e.

segmented scaling parameters and steganography capacity) and imperceptibility as well as robustness was analyzed.Next

a multi-objective optimization model of audio steganography was presented

in which segmented scaling parameters and steganography capacity were decision variables

imperceptibility and steganography capacity were optimization objectives

and the signal-to-noise ratio was a constraint.Then

a robust audio steganography algorithm based on differential evolution was proposed

including the corresponding encoding

fitness function

crossover and mutation operators.Finally

comparative experimental results show that the proposed steganography algorithm can achieve better robustness against common signal processing attacks on the premise of ensuring imperceptibility and anti-detection.

关键词

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references

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