一种基于差分进化的鲁棒音频隐写算法

苏兆品; 沈朝勇; 张国富; 岳峰; 胡东辉

doi:10.11959/j.issn.1000-0801.2021246

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一种基于差分进化的鲁棒音频隐写算法

研究与开发 | 更新时间：2024-06-05

- 一种基于差分进化的鲁棒音频隐写算法
- A robust audio steganography algorithm based on differential evolution
- 电信科学 2021年37卷第11期页码：64-74
- 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：
  
  [ "苏兆品（1983− ），女，博士，合肥工业大学副教授，主要研究方向为语音安全、进化算法" ]
  [ "沈朝勇（1996− ），男，合肥工业大学硕士生，主要研究方向为音频隐写、进化算法" ]
  [ "张国富（1979− ），男，博士，合肥工业大学教授，主要研究方向为语音安全、软件工程" ]
  [ "岳峰（1981− ），男，博士，合肥工业大学副研究员，主要研究方向为软件工程、信息安全" ]
  [ "胡东辉（1973− ），男，博士，合肥工业大学教授，主要研究方向为信息安全、机器学习" ]
- 基金信息：
  
  安徽省重点研究与开发计划;The Anhui Provincial Key Research and Development Program(202004d07020011);安徽省重点研究与开发计划;The Anhui Provincial Key Research and Development Program(202104d07020001);教育部人文社会科学研究青年基金项目;MOE (Ministry of Education in China) Project of Humanities and Social Sciences(19YJC870021);广东省类脑智能计算重点实验室开放课题;Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation(GBL202117);中央高校基本科研业务费专项资金项目;Fundamental Research Funds for the Central Universities(PA2020GDKC0015);中央高校基本科研业务费专项资金项目;Fundamental Research Funds for the Central Universities(PA2021GDSK0073);中央高校基本科研业务费专项资金项目;Fundamental Research Funds for the Central Universities(PA2021GDSK0074)
- DOI：10.11959/j.issn.1000-0801.2021246
  中图分类号： TP309.2
- 网络出版日期：2021-11，
  
  纸质出版日期：2021-11-20
- 稿件说明：
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苏兆品, 沈朝勇, 张国富, 等. 一种基于差分进化的鲁棒音频隐写算法[J]. 电信科学, 2021,37(11):64-74.

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.
苏兆品, 沈朝勇, 张国富, 等. 一种基于差分进化的鲁棒音频隐写算法[J]. 电信科学, 2021,37(11):64-74. DOI： 10.11959/j.issn.1000-0801.2021246.

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

Keywords

references

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