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可逆数据隐藏在加密图像中,使用基于LWE的秘密共享
Zahra Saeidi1, Sattar Mirzakuchaki2
1Department of Electrical Engineering, Iran University of Science & Technology, Tehran, 1684613114, Iran. zahra.saeediii74@gmail.com.
Scientific reports
|December 29, 2025
概括
本研究提出了一种新的可逆数据隐藏在加密图像 (RDH-EI) 方法,用于多个数据隐藏器. 它使用基于错误学习 (LWE) 问题和适应编码的秘密共享,以实现高嵌入容量和无损恢复.
科学领域:
- 密码学和信息安全信息安全
- 数字图像处理 数字图像处理
- 数据隐藏技术 数据隐藏技术
背景情况:
- 隐藏在加密图像中的可逆数据 (RDH-EI) 对于在不损害图像保密性的情况下安全嵌入数据至关重要.
- 现有的RDH-EI方法往往难以有效地容纳多个数据隐藏器.
- 错误学习 (LWE) 问题为加密应用提供了强大的安全基础.
研究的目的:
- 引入一种新的RDH-EI技术,能够支持多个数据隐藏器.
- 为了增强嵌入能力,并确保无损的图像重建,即使数据丢失.
- 在RDH-EI框架内利用LWE问题的安全性.
主要方法:
- 基于学习与错误 (LWE) 问题与自适应编码策略的秘密共享的整合.
- 使用基于LWE的方法将原始图像分发到多个数据隐藏器中.
- 应用区块变换和流密码加密来保持空间相关性.
- 基于频率的最显著位 (MSB) 块的自适应性压缩,以增加容量.
- 嵌入额外的数据与反向的Huffman代码和辅助信息结合在MSB平面中.
主要成果:
- 拟议的RDH-EI方法成功地容纳了多个数据隐藏器.
- 即使有损坏或缺失的数据共享,也可以实现原始图像的无损恢复,如果有足够的有效共享.
- 实验结果显示,与最先进的方法相比,性能优越,特别是在嵌入能力方面.
- 该技术表现出强大的安全性,因为它的基础是LWE问题.
结论:
- 新的RDH-EI技术有效地解决了多个数据隐藏器的挑战.
- 基于LWE的秘密共享和自适应编码的集成大大提高了嵌入能力.
- 该方法为隐藏在加密图像中的可逆数据提供了安全可靠的解决方案.
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