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基于预测误差压缩的加密图像可逆数据隐藏与认证方案

Reversible data hiding and authentication scheme for encrypted image based on prediction error compression.

作者信息

Ren Fang, Zhang Zhelin, Jiang Kai, Zhang Peiyang, Yang Tengfei

机构信息

School of Cyberspace Security, Xi'an University of Posts and Telecommunications, Xi'an, 710121, China.

National Engineering Research Center for Secured Wireless, Xi'an, 710121, China.

出版信息

Sci Rep. 2025 Apr 4;15(1):11636. doi: 10.1038/s41598-025-95433-9.

Abstract

In the most existing reversible data hiding schemes for encrypted images, cover images can be reversibly recovered, but the integrity of image content cannot be guaranteed. This paper proposes a reversible data hiding and authentication scheme for encrypted images to implement reversible recovery and content authentication of cover images and secret data. The content owner employs a new predictor ISGAP to generate more accurate predictions and smaller errors. The errors are then compressed with adaptive Huffman coding to enlarge the embedding space, and the plaintext authentication information is embedded in it. The data hider embeds secret data into the encrypted image along with ciphertext authentication information. The receiver performs ciphertext authentication first and then implements cover recovery and plaintext authentication according to different keys. Experiments were carried out with 100 images selected from each dataset of BOSSbase and BOWS-2, and the results show that the scheme has higher embedding capacity and can effectively implement image content authentication while ensuring high security and reversible recovery.

摘要

在大多数现有的加密图像可逆数据隐藏方案中,载体图像可以被可逆恢复,但图像内容的完整性无法得到保证。本文提出了一种用于加密图像的可逆数据隐藏与认证方案,以实现载体图像和秘密数据的可逆恢复及内容认证。内容所有者采用一种新的预测器ISGAP来生成更准确的预测并产生更小的误差。然后使用自适应哈夫曼编码对这些误差进行压缩以扩大嵌入空间,并将明文认证信息嵌入其中。数据隐藏者将秘密数据与密文认证信息一起嵌入到加密图像中。接收者首先进行密文认证,然后根据不同的密钥进行载体恢复和明文认证。从BOSSbase和BOWS-2的每个数据集中选取100幅图像进行实验,结果表明该方案具有较高的嵌入容量,并且在确保高安全性和可逆恢复的同时能够有效地实现图像内容认证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82a5/11971425/32c8b7646dc9/41598_2025_95433_Fig1_HTML.jpg

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