使用伪随机数生成器的混合图像加密,以及换位和替换技术

Ashwin Ramesh, Akash Jain
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引用次数: 11

摘要

随着密码学研究的不断深入,图像强加密的重要性与日俱增。保护图像数据免受未经授权的访问是很重要的。在提出的工作中,作者引入了使用两个伪随机数生成器的混合两阶段图像加密。在第一阶段,使用Sophie Germain Prime Generator的修改版本来创建一组生成的伪随机数,然后使用这些随机数为图像的所有像素分配新值。在第二阶段,使用Lehmer随机数生成器根据输入的密钥生成一组随机数。然后使用伪随机数列表将中间密码图像的每个像素与不同的像素交换。结果是一个加密的图像,对其进行密码分析变得困难,因为如果prng的密钥值未知,则无法预测随机数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid image encryption using Pseudo Random Number Generators, and transposition and substitution techniques
The importance of strong image encryption has increased hugely with the increasing stress on cryptanalysis. The protection of image data from unauthorized access is important. In the proposed work, the authors introduce a two-stage image encryption using a hybrid of two Pseudo Random Number Generators. In the first stage, an altered version of the Sophie Germain Prime Generator is used to create a set of generated pseudo random numbers, which is then used to assign new values to all the pixels of the image. In the second stage, Lehmer Random Number Generator is used to generate a set of random numbers depending on the key entered. Each pixel of the intermediate cipher image is then swapped with a different pixel using the list of the pseudo random numbers. The resultant is an encrypted image on which cryptanalysis becomes difficult since the random numbers cannot be predicted if key values for PRNGs are not known.
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