基于人工DNA计算的彩色图像隐写

IF 3.3 4区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Informatica Pub Date : 2023-09-28 DOI:10.31449/inf.v47i8.4772
Najat Hameed Qasim Al-Iedani, Sahera A. Sead
{"title":"基于人工DNA计算的彩色图像隐写","authors":"Najat Hameed Qasim Al-Iedani, Sahera A. Sead","doi":"10.31449/inf.v47i8.4772","DOIUrl":null,"url":null,"abstract":"Modern genetic engineering developments have made it possible for artificial DNA strands to be included in living cells of creatures. Many methods of artificial insertion have been developed using DNA, which has excellent data storage capacity. Most of these techniques are used to encode text data, while there has been little research on encoding other types of media. Methods for encoding images have very little studied, and most of them are dedicated to black-and-white images. The proposed method focuses on encoding a secret color image and then embedding it in another color image, this comprises two levels of security. The first level is provided by converting binary color images into DNA sequences. A second level is provided by embedding the bits of DNA sequence into LSBs of the cover image to generate the stego image. Extraction process is in the reverse procedure. The proposed method is significantly efficient, according to the experimental results.","PeriodicalId":56292,"journal":{"name":"Informatica","volume":"130 1","pages":"0"},"PeriodicalIF":3.3000,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Color image Steganography Based on Artificial DNA Computing\",\"authors\":\"Najat Hameed Qasim Al-Iedani, Sahera A. Sead\",\"doi\":\"10.31449/inf.v47i8.4772\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modern genetic engineering developments have made it possible for artificial DNA strands to be included in living cells of creatures. Many methods of artificial insertion have been developed using DNA, which has excellent data storage capacity. Most of these techniques are used to encode text data, while there has been little research on encoding other types of media. Methods for encoding images have very little studied, and most of them are dedicated to black-and-white images. The proposed method focuses on encoding a secret color image and then embedding it in another color image, this comprises two levels of security. The first level is provided by converting binary color images into DNA sequences. A second level is provided by embedding the bits of DNA sequence into LSBs of the cover image to generate the stego image. Extraction process is in the reverse procedure. The proposed method is significantly efficient, according to the experimental results.\",\"PeriodicalId\":56292,\"journal\":{\"name\":\"Informatica\",\"volume\":\"130 1\",\"pages\":\"0\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2023-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Informatica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31449/inf.v47i8.4772\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Informatica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31449/inf.v47i8.4772","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

现代基因工程的发展已经使人造DNA链被包含在生物的活细胞中成为可能。由于DNA具有优良的数据存储能力,许多人工插入方法已被开发出来。这些技术大多用于对文本数据进行编码,而对其他类型的媒体进行编码的研究很少。对图像编码方法的研究很少,而且大多数都是针对黑白图像的。该方法主要是对一个秘密彩色图像进行编码,然后将其嵌入到另一个彩色图像中,该方法包括两个安全级别。第一级是通过将二值彩色图像转换为DNA序列来提供的。通过将DNA序列的位嵌入到封面图像的lsdb中以生成隐写图像,提供了第二级。提取过程是在逆向过程中进行的。实验结果表明,该方法具有显著的效率。
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
Color image Steganography Based on Artificial DNA Computing
Modern genetic engineering developments have made it possible for artificial DNA strands to be included in living cells of creatures. Many methods of artificial insertion have been developed using DNA, which has excellent data storage capacity. Most of these techniques are used to encode text data, while there has been little research on encoding other types of media. Methods for encoding images have very little studied, and most of them are dedicated to black-and-white images. The proposed method focuses on encoding a secret color image and then embedding it in another color image, this comprises two levels of security. The first level is provided by converting binary color images into DNA sequences. A second level is provided by embedding the bits of DNA sequence into LSBs of the cover image to generate the stego image. Extraction process is in the reverse procedure. The proposed method is significantly efficient, according to the experimental results.
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
Informatica
Informatica 工程技术-计算机:信息系统
CiteScore
5.90
自引率
6.90%
发文量
19
审稿时长
12 months
期刊介绍: The quarterly journal Informatica provides an international forum for high-quality original research and publishes papers on mathematical simulation and optimization, recognition and control, programming theory and systems, automation systems and elements. Informatica provides a multidisciplinary forum for scientists and engineers involved in research and design including experts who implement and manage information systems applications.
期刊最新文献
Beyond Quasi-Adjoint Graphs: On Polynomial-Time Solvable Cases of the Hamiltonian Cycle and Path Problems Confidential Transaction Balance Verification by the Net Using Non-Interactive Zero-Knowledge Proofs An Improved Algorithm for Extracting Frequent Gradual Patterns Offloaded Data Processing Energy Efficiency Evaluation Demystifying the Stability and the Performance Aspects of CoCoSo Ranking Method under Uncertain Preferences
×
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