School of Computer Sciences, Hubei University of Technology, Wuhan, Hubei Province, China.
Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, Hubei Province, China.
PLoS One. 2019 Oct 2;14(10):e0222892. doi: 10.1371/journal.pone.0222892. eCollection 2019.
There is a vivid research on securely deliver a secret message by using a data hiding technique in digital images. However, most existing solutions of data-hiding need to encrypt secret data first, and embed the encrypt message into cover image, which is not promising any security once the embedding algorithm is leaked. In this paper, an efficient and adaptive data hiding scheme is presented which is based on a new reference matrix named secure reference matrix. The scheme is flexible enough to meet different data hiding capacities and image quality as needed, and we allow the reference matrix to be more secure since it is randomly generated each time and make it much harder for being attack with exhaustive manner by extending the possible solution. We give the detail protocol for our scheme and provide the practical test and performance analysis. Experimental results show that our scheme has a better flexibility and efficiency in embedding process, and the average value of Peak Signal to Noise Ratio (PSNR) for the stego-images which are generated by our scheme have a higher visual quality for different embedding capacities, and our scheme is more efficient compared with related work.
已经有很多关于利用数字图像中的数据隐藏技术来安全传递秘密消息的生动研究。然而，大多数现有的数据隐藏解决方案首先需要加密秘密数据，然后将加密消息嵌入到覆盖图像中，一旦嵌入算法被泄露，这就不能提供任何安全性。在本文中，提出了一种基于新的参考矩阵——安全参考矩阵的高效自适应数据隐藏方案。该方案足够灵活，可以根据需要满足不同的数据隐藏容量和图像质量，并允许参考矩阵更加安全，因为它是每次随机生成的，并且通过扩展可能的解决方案，使得它更难被穷举攻击。我们给出了方案的详细协议，并提供了实际的测试和性能分析。实验结果表明，我们的方案在嵌入过程中具有更好的灵活性和效率，并且由我们的方案生成的掩蔽图像的平均峰值信噪比（PSNR）值对于不同的嵌入容量具有更高的视觉质量，与相关工作相比，我们的方案更有效。
