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Reversible data hiding in encrypted images with additive and multiplicative public-key homomorphism

机译:具有加性和乘性公钥同态的加密图像中可逆数据隐藏

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摘要

Public-key homomorphism is an efficient technique of reversible data hiding in encrypted images (RDHEI). The existing public-key homomorphism based RDH-EI schemes benefit from the additive homomorphism of public-key encryption. In this paper, a theoretical analysis of public-key homomorphism based RDH-EI is given, which makes both additive homomorphism and multiplicative homomorphism available. Thus more homomorphic public-key encryptions can be used to construct RDH-EI schemes. By the theoretical analysis, lossless recovery of directly decrypted image is obtained. And the embedding rate can reach 1 bit per pixel (bpp) or more regardless of the pixel distribution of natural images. In addition, two novel public-key homomorphism based RDH-EI schemes using additive homomorphism and multiplicative homomorphism, respectively, are introduced. Experimental results are presented to illustrate the effectiveness and superiority of the proposed methods. (C) 2019 Elsevier B.V. All rights reserved.
机译:公钥同态是一种将可逆数据隐藏在加密图像(RDHEI)中的有效技术。现有的基于公钥同态的RDH-EI方案得益于公钥加密的加性同态。本文对基于RDH-EI的公钥同态进行了理论分析,使加性同态和乘法同态都可用。因此,可以使用更多同态的公共密钥加密来构造RDH-EI方案。通过理论分析,获得了直接解密图像的无损恢复。无论自然图像的像素分布如何,嵌入率都可以达到每像素1位(bpp)或更高。此外,还介绍了两种分别使用加法同构和乘法同构的新颖的基于公钥同构的RDH-EI方案。实验结果表明该方法的有效性和优越性。 (C)2019 Elsevier B.V.保留所有权利。

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