改进的秘密图像共享方案与有效载荷优化

Angelina Espejel Trujillo, Ivan Castillo-Camacho, M. Nakano-Miyatake, Gina Gallegos-García, H. Meana
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引用次数: 2

摘要

本文提出了一种基于插值的(k,n)阈值秘密图像共享(SIS)方案的改进,其中秘密数据负载使用GF(28)中操作的拉格朗日插值进行优化。秘密数据不仅可以是图像,还可以是任何类型的文件,例如文档和可执行文件,这些文件使用最低有效位(LSB)隐写术隐藏为n个看起来无害的图像,称为伪装图像。为了恢复秘密数据,至少需要k(≤n)张伪装图像。该方案提供了一种通过奇偶校验和GF(28)操作无损恢复秘密数据的认证机制。通过控制k的值,可以控制伪装图像的大小,避免常规SIS方案中出现的像素扩展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved secret image sharing scheme with payload optimization
This paper presents an improvement of interpolation-based (k,n)-threshold secret image sharing (SIS) scheme, where a secret data payload is optimized using Lagrange Interpolation operated in GF(28). A secret data can be not only images but also any type of files, such as documents and executable files, which is hidden using Least Significant Bit (LSB) steganography into n innocent-looking images called camouflage images. In order to recover the secret data, at least k (≤n) camouflage images are required. The proposed scheme provides an authentication mechanism by parity-bit checking and lossless recovery of the secret data using GF(28) operation. Controlling the value of k, the size of camouflage images can be controlled to avoid a pixel expansion occurred in conventional SIS schemes.
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