基于元胞自动机和LSB隐写的多秘密图像共享并行实现

A. Hernandez-Becerril, M. Nakano-Miyatake, M. Ramirez-Tachiquin, H. Meana
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引用次数: 1

摘要

在这项工作中,我们提出了一种基于元胞自动机(CA)的多秘密图像共享(SIS)与最低有效位(LSB)速记的并行实现。在以前基于ca的多重sis方案中,最终加密的文件是类似噪声的外观图像,当这些文件通过公共网络传输时,会引起观察者的怀疑。为了解决这一问题,采用LSB隐写技术将加密后的类噪声图像隐藏成伪装图像。为了减少SIS方案编码和解码过程的执行时间,提出了一种基于CUDA技术的并行实现方案。仿真结果表明,所提出的并行算法比传统的顺序算法快7倍以上。由于降低了时间复杂度并获得了未被注意的共享,使得该方案的可靠性可用于许多信息安全领域,如用户设备和云存储环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A parallel implementation of multiple secrete image sharing based on Cellular Automata with LSB steganography
In this work we propose a parallel implementation of a Cellular Automata (CA)-based multiple secret image sharing (SIS) with a Least Significant Bit (LSB) Stenography. In previous CA-based multiple-SIS schemes, the resulting encrypted files are noise-like appearance images, which arises suspicion of observers when these are transmitted through a public network. To solve this problem, the LSB steganography is used to hide the encrypted noise-like images into camouflage images. To reduce execution time of the encoding and the decoding process of the SIS scheme, a parallel implementation based on CUDA technology is proposed. The simulation results demonstrate that the proposed parallel algorithm is more than 7 times faster than the conventional sequential algorithm. This reduction of temporal complexity and obtaining unnoticed shares allow the reliability of this scheme to be used in many information security fields such as the user-devices and cloud storage environments.
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