基于预测误差与位平面编码的密文域可逆信息隐藏算法

王海勇; 吉梦凝

doi:10.11959/j.issn.2096-109x.2023081

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基于预测误差与位平面编码的密文域可逆信息隐藏算法

学术论文 | 更新时间：2024-06-03

- 基于预测误差与位平面编码的密文域可逆信息隐藏算法
- Reversible data hiding algorithm in encrypted images based on prediction error and bitplane coding
- 网络与信息安全学报 2023年9卷第6期页码：34-45
- 作者机构：
- 作者简介：
  
  [ "王海勇（1979- ），男，江苏连云港人，博士，南京邮电大学副研究员，主要研究方向为计算机网络安全、计算机视觉" ]
  [ "吉梦凝（1999- ），女，湖北随州人，南京邮电大学硕士生，主要研究方向为可逆信息隐藏" ]
- 基金信息：
  
  国家自然科学基金;The National Natural Science Foundation of China(61872190);江苏省博士后科研资助计划项目;The Jiangsu Planned Projects for Postdoctoral Research Funds(2020Z058)
- DOI：10.11959/j.issn.2096-109x.2023081
  中图分类号： TP391
- 网络首发：2023-12，
  
  纸质出版：2023-12-25
- 稿件说明：
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王海勇, 吉梦凝. 基于预测误差与位平面编码的密文域可逆信息隐藏算法[J]. 网络与信息安全学报, 2023,9(6):34-45.

Haiyong WANG, Mengning JI. Reversible data hiding algorithm in encrypted images based on prediction error and bitplane coding[J]. Chinese Journal of Network and Information Security, 2023, 9(6): 34-45.
王海勇, 吉梦凝. 基于预测误差与位平面编码的密文域可逆信息隐藏算法[J]. 网络与信息安全学报, 2023,9(6):34-45. DOI： 10.11959/j.issn.2096-109x.2023081.

Haiyong WANG, Mengning JI. Reversible data hiding algorithm in encrypted images based on prediction error and bitplane coding[J]. Chinese Journal of Network and Information Security, 2023, 9(6): 34-45. DOI： 10.11959/j.issn.2096-109x.2023081.

摘要

随着云计算技术的发展，越来越多的用户使用云备份的方式存储一些重要文件，与此同时，人们对于隐私保护的要求日益增长。密文域可逆信息隐藏是一种可以在密文图像中嵌入秘密信息，保证无错提取秘密信息以及无损恢复原始图像的技术，该技术既保护了载体图像的安全性，又有效地在网络中传递隐私信息，能够应用于云环境实现对用户的隐私保护，受到研究者的广泛关注。针对现有密文域可逆信息隐藏算法嵌入率较低的问题，提出了基于预测误差与位平面编码的密文域可逆信息隐藏算法，该算法重点研究如何在保证安全性和可逆性的同时，实现高嵌入容量。所提算法对图像进行预处理，根据位平面分布的不同分别使用不同的方式编码，在图像中预留出大量空间，通过重排列将预留的空间放在低位平面中；使用密钥生成随机矩阵，对图像进行加密，以保证图像的安全性；将秘密信息嵌入预留的空间中。在接收端，合法接收者能够根据密钥可分离来实现秘密信息的无错提取以及原始图像的无损恢复。与现有算法相比，所提算法具有更高的嵌入率，在 BOWS-2、BOSSBase 和 UCID 这 3 个数据集上平均嵌入率分别达到了3.769 bit/pixel、3.874 bit/pixel 和 3.148 bit/pixel，分别比同类算法中性能最好的算法提升了 12.5%、6.9%和8.6%。实验结果表明，所提算法能够充分利用图像的冗余性，有效提升嵌入率。

Abstract

With the increasing use of cloud backup methods for storing important files

the demand for privacy protection has also grown.Reversible data hiding in encrypted images (RDHEI) is an important technology in the field of information security that allows embedding secret information in encrypted images while ensuring error-free extraction of the secret information and lossless recovery of the original plaintext image.This technology not only enhances image security but also enables efficient transmission of sensitive information over networks.Its application in cloud environments for user privacy protection has attracted significant attention from researchers.A reversible data hiding method in encrypted images based on prediction error and bitplane coding was proposed to improve the embedding rate of existing RDHEI algorithms.Different encoding methods were employed by the algorithm depending on the distribution of the bitplanes

resulting in the creation of additional space in the image.The image was rearranged to allocate the freed-up space to the lower-order planes.Following this

a random matrix was generated using a key to encrypt the image

ensuring image security.Finally

the information was embedded into the reserved space.The information can be extracted and the image recovered by the receiver using different keys.The proposed algorithm achieves a higher embedding rate compared to five state-of-the-art RDHEI algorithms.The average embedding rates on BOWS-2

BOSSBase

and UCID datasets are 3.769 bit/pixel

3.874 bit/pixel

and 3.148 bit/pixel respectively

which represent an improvement of 12.5%

6.9% and 8.6% compared to the best-performing algorithms in the same category.Experimental results demonstrate that the proposed algorithm effectively utilizes the redundancy of images and significantly improves the embedding rate.

关键词

Keywords

references

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