遗传算法用于RGB图像加密的DNA计算

H. Hussien
{"title":"遗传算法用于RGB图像加密的DNA计算","authors":"H. Hussien","doi":"10.1109/ICCES48960.2019.9068136","DOIUrl":null,"url":null,"abstract":"A combination of DNA computing and a genetic algorithm is announced for RGB image encryption. The model is strong based on the scrambling technique of DNA computing operations using the crossover and mutation process and establishing a dynamic key based on a genetic algorithm, including a set of parameters such as population size, number of generation and mutation probability. First, the decoding of the image GA selected DNA sequence encoding process and the random key for the three R G B channels were followed by the DNA addition process. The decoded DNA added to the matrix of the output. Finally, conduct the XOR-mod procedure on the decoded matrix and the random number of the genetic algorithm to obtain the encrypted image. The paper includes countless experimental steps to confirm that the model has a high degree of safety and strength against different types of attacks.","PeriodicalId":136643,"journal":{"name":"2019 14th International Conference on Computer Engineering and Systems (ICCES)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"DNA Computing for RGB image Encryption with Genetic Algorithm\",\"authors\":\"H. Hussien\",\"doi\":\"10.1109/ICCES48960.2019.9068136\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A combination of DNA computing and a genetic algorithm is announced for RGB image encryption. The model is strong based on the scrambling technique of DNA computing operations using the crossover and mutation process and establishing a dynamic key based on a genetic algorithm, including a set of parameters such as population size, number of generation and mutation probability. First, the decoding of the image GA selected DNA sequence encoding process and the random key for the three R G B channels were followed by the DNA addition process. The decoded DNA added to the matrix of the output. Finally, conduct the XOR-mod procedure on the decoded matrix and the random number of the genetic algorithm to obtain the encrypted image. The paper includes countless experimental steps to confirm that the model has a high degree of safety and strength against different types of attacks.\",\"PeriodicalId\":136643,\"journal\":{\"name\":\"2019 14th International Conference on Computer Engineering and Systems (ICCES)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 14th International Conference on Computer Engineering and Systems (ICCES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCES48960.2019.9068136\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 14th International Conference on Computer Engineering and Systems (ICCES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCES48960.2019.9068136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

提出了一种结合DNA计算和遗传算法的RGB图像加密方法。该模型基于DNA计算操作的置乱技术,利用交叉和突变过程,建立了基于遗传算法的动态密钥,包括种群大小、代数和突变概率等参数。首先,对图像进行GA解码,选择DNA序列编码过程和三个rgb通道的随机密钥,然后进行DNA加法处理。解码后的DNA加入到输出的矩阵中。最后,对解码后的矩阵和遗传算法的随机数进行异或模运算,得到加密后的图像。本文包含了无数的实验步骤,以证实该模型具有很高的安全性和强度,可以抵御不同类型的攻击。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
DNA Computing for RGB image Encryption with Genetic Algorithm
A combination of DNA computing and a genetic algorithm is announced for RGB image encryption. The model is strong based on the scrambling technique of DNA computing operations using the crossover and mutation process and establishing a dynamic key based on a genetic algorithm, including a set of parameters such as population size, number of generation and mutation probability. First, the decoding of the image GA selected DNA sequence encoding process and the random key for the three R G B channels were followed by the DNA addition process. The decoded DNA added to the matrix of the output. Finally, conduct the XOR-mod procedure on the decoded matrix and the random number of the genetic algorithm to obtain the encrypted image. The paper includes countless experimental steps to confirm that the model has a high degree of safety and strength against different types of attacks.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Social Networking Sites (SNS) and Digital Communication Across Nations Improving Golay Code Using Hashing Technique Alzheimer's Disease Integrated Ontology (ADIO) Session PC: Parallel and Cloud Computing Multipath Traffic Engineering for Software Defined Networking
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1