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A visual meaningful encryption and hiding algorithm for multiple images
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DOI：10.1007/s11071-024-09790-7.png)
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摘要
En 中文
To protect the privacy of multiple images simultaneously in the digital information era, this paper proposes a novel multi-image encryption and hiding algorithm (MiEHA) with the help of a new three-dimensional coupled chaotic model (3D-CCM), cross-plane confusion, diffusion and a three-dimensional discrete cosine transform (3D-DCT). First, to address security concerns arising from the limited performance of the current chaotic system, a new 3D-CCM is presented with a designed three-dimensional coupled map using Logistic map and Iterative chaotic map (3D-LICM). In addition, a novel key acquisition model is also developed to generate pseudo-random keystream. Next, the secret plain images are reorganized into three matrices of the same size together with the keystream. Then, the proposed algorithm implements cross-plane confusion, 3D Zigzag confusion-diffusion and cross-plane diffusion to achieve encryption for the former three matrices, resulting in a cipher image. Finally, execute a 3D-DCT transformation on a color carrier image, followed by an embedding operation of the cipher image into DCT coefficients, resulting in a carrier image containing secrets, i.e., visually meaningful cipher image. Fortunately, the proposed multi-image encryption can address the issue of requiring multiple rounds of encryption to different images. Different from noise-like cipher image, the proposed MiEHA has a better capability of encrypting and hiding secret images, with a high visual effect for carrier image before and after being embedded.
Keyword:
Multi-image encryption
3D-CCM
Cross-plane confusion
3D Zigzag confusion-diffusion
Carrier image
期刊
IF:
6
论文数:
1.4W
被引数:
4.1W
机构
引用论文
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SIGNAL PROCESSING
SIGNAL PROCESSINGIF3.6
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