结合图像加密与深度学习的高容量图像隐写算法

杨晓元; 毕新亮; 刘佳; 黄思远

doi:10.11959/j.issn.1000-436x.2021134

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结合图像加密与深度学习的高容量图像隐写算法

学术论文 | 更新时间：2024-06-05

- 结合图像加密与深度学习的高容量图像隐写算法
- High-capacity image steganography algorithm combining image encryption and deep learning
- 通信学报 2021年42卷第9期页码：96-105
- 作者机构：
  
  1. 武警工程大学密码工程学院，陕西西安 710086
  2. 网络与信息安全武警部队重点实验室，陕西西安 710086
- 作者简介：
  
  [ "杨晓元（1959− ），男，湖南湘潭人，博士，武警工程大学教授、博士生导师，主要研究方向为密码学、信息隐藏等" ]
  [ "毕新亮（1997− ），男，安徽合肥人，武警工程大学硕士生，主要研究方向为深度学习、图像隐写等" ]
  [ "刘佳（1982− ），男，河南汝州人，博士，武警工程大学副教授、硕士生导师，主要研究方向为信息隐藏、图像隐写、机器学习等" ]
  [ "黄思远（1997− ），男，陕西西安人，武警工程大学硕士生，主要研究方向为信息隐藏等" ]
- 基金信息：
  
  国家自然科学基金资助项目(61872384)
- DOI：10.11959/j.issn.1000-436x.2021134
  中图分类号： TP309.2
- 网络出版日期：2021-09，
  
  纸质出版日期：2021-09-25
- 稿件说明：
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杨晓元, 毕新亮, 刘佳, 等. 结合图像加密与深度学习的高容量图像隐写算法[J]. 通信学报, 2021,42(9):96-105.

Xiaoyuan YANG, Xinliang BI, Jia LIU, et al. High-capacity image steganography algorithm combining image encryption and deep learning[J]. Journal on communications, 2021, 42(9): 96-105.
杨晓元, 毕新亮, 刘佳, 等. 结合图像加密与深度学习的高容量图像隐写算法[J]. 通信学报, 2021,42(9):96-105. DOI： 10.11959/j.issn.1000-436x.2021134.

Xiaoyuan YANG, Xinliang BI, Jia LIU, et al. High-capacity image steganography algorithm combining image encryption and deep learning[J]. Journal on communications, 2021, 42(9): 96-105. DOI： 10.11959/j.issn.1000-436x.2021134.

摘要

针对基于深度学习的高容量图像隐写方案存在的载体图像和含密图像的残差图像会暴露秘密图像的问题，提出了结合图像加密和深度学习的高容量图像隐写算法。该算法设计使用了一种图像特征提取方法，使得从载体图像中提取的特征与从含密图像中提取的特征是一致的。发送方在图像隐写前，从载体图像中提取特征作为密钥，用来加密秘密图像。提取方提取加密过的秘密图像后，从含密图像中提取特征作为密钥，用来解密秘密图像。实验结果表明，攻击者无法从残差图像中发现秘密图像的信息，且密钥传递的频率更低，算法安全性得到了提升。

Abstract

Aiming at the problem that the residual image of cover image and carrier image in the high-capacity image steganography scheme based on deep learning will expose the secret image

a high-capacity image steganography scheme combining image encryption and deep learning was proposed.An image feature extraction method was used

so that the features extracted from the cover image were consistent with the features extracted from the carrier image.Before the image steganography

the sender extracted features from the cover image as a key to encrypt the secret image.After the extractor extracted the encrypted secret image

the features were extracted from the carrier image as a key to decrypt the secret image.The experimental results show that the attacker cannot find the information of the secret image from the residual image

and the frequency of key transmission is lower

and the security of the algorithm is improved.

关键词

Keywords

references

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