Genetic Hash Algorithm

L. N. Eddeen, Eman M. Saleh, Doaa Saadah
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引用次数: 1

Abstract

Security is becoming a major concern in computing. New techniques are evolving every day; one of these techniques is Hash Visualization. Hash Visualization uses complex random generated images for security, these images can be used to hide data (watermarking). This proposed new technique improves hash visualization by using genetic algorithms. Genetic algorithms are a search optimization technique that is based on the evolution of living creatures. The proposed technique uses genetic algorithms to improve hash visualization. The used genetic algorithm was away faster than traditional previous ones, and it improved hash visualization by evolving the tree that was used to generate the images, in order to obtain a better and larger tree that will generate images with higher security. The security was satisfied by calculating the fitness value for each chromosome based on a specifically designed algorithm.
遗传哈希算法
安全性正在成为计算领域的一个主要问题。新技术每天都在发展;其中一种技术是哈希可视化。哈希可视化使用复杂随机生成的图像来保证安全性,这些图像可以用来隐藏数据(水印)。提出的新技术通过使用遗传算法改进哈希可视化。遗传算法是一种基于生物进化的搜索优化技术。提出的技术使用遗传算法来改进哈希可视化。所使用的遗传算法比传统的算法快得多,并且通过进化用于生成图像的树来改进哈希可视化,以获得更好更大的树,从而生成具有更高安全性的图像。根据设计的算法计算每条染色体的适应度值,以满足安全性要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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