图像隐写与使用QR码

Samuel Andrejcík, Ľ. Ovseník, Jakub Oravec, Norbert Zdravecký, Maroš Lapčák
{"title":"图像隐写与使用QR码","authors":"Samuel Andrejcík, Ľ. Ovseník, Jakub Oravec, Norbert Zdravecký, Maroš Lapčák","doi":"10.1109/Informatics57926.2022.10083471","DOIUrl":null,"url":null,"abstract":"This article deals with digital representation of images as well as presents design and implementation of message security of data represented in images by using the Quick Response (QR) code encryption technique. In the proposed solution, the QR code is written in the least significant bit (LSB). In our presented case the simulations are performed in MATLAB development tool. The results are presented by multiple stego images using multiple cover images and secret messages that are embedded into them. The motivation is ever-increasing demands on the security of hidden data represented in images. The proposed solution is evaluated by parametric values as Peak signal-to-noise ratio (PSNR), mean squared error (MSE) and subsequently compared with well-known proposed solutions. The aim of this article is to design a solution that will come with high level of security and at the same time with lowest possible level of perceptibility. The system can be used to secure data in the medical field, respectively in the protection of copyrighted data.","PeriodicalId":101488,"journal":{"name":"2022 IEEE 16th International Scientific Conference on Informatics (Informatics)","volume":"51 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Image steganography with using QR code\",\"authors\":\"Samuel Andrejcík, Ľ. Ovseník, Jakub Oravec, Norbert Zdravecký, Maroš Lapčák\",\"doi\":\"10.1109/Informatics57926.2022.10083471\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article deals with digital representation of images as well as presents design and implementation of message security of data represented in images by using the Quick Response (QR) code encryption technique. In the proposed solution, the QR code is written in the least significant bit (LSB). In our presented case the simulations are performed in MATLAB development tool. The results are presented by multiple stego images using multiple cover images and secret messages that are embedded into them. The motivation is ever-increasing demands on the security of hidden data represented in images. The proposed solution is evaluated by parametric values as Peak signal-to-noise ratio (PSNR), mean squared error (MSE) and subsequently compared with well-known proposed solutions. The aim of this article is to design a solution that will come with high level of security and at the same time with lowest possible level of perceptibility. The system can be used to secure data in the medical field, respectively in the protection of copyrighted data.\",\"PeriodicalId\":101488,\"journal\":{\"name\":\"2022 IEEE 16th International Scientific Conference on Informatics (Informatics)\",\"volume\":\"51 5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 16th International Scientific Conference on Informatics (Informatics)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/Informatics57926.2022.10083471\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 16th International Scientific Conference on Informatics (Informatics)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Informatics57926.2022.10083471","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本文讨论了图像的数字表示,并介绍了使用QR码加密技术对图像中表示的数据进行消息安全的设计和实现。在提出的解决方案中,QR码以最低有效位(LSB)书写。在本案例中,仿真是在MATLAB开发工具中进行的。结果由使用多个封面图像和嵌入其中的秘密信息的多个隐写图像呈现。其动机是对图像中隐藏数据的安全性要求不断提高。通过峰值信噪比(PSNR)、均方误差(MSE)等参数值对所提出的解决方案进行评估,并随后与已知的解决方案进行比较。本文的目的是设计一个解决方案,该解决方案将具有高级别的安全性,同时具有尽可能低的可感知性。该系统可用于医疗领域的数据安全,分别在版权数据的保护方面。
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
Image steganography with using QR code
This article deals with digital representation of images as well as presents design and implementation of message security of data represented in images by using the Quick Response (QR) code encryption technique. In the proposed solution, the QR code is written in the least significant bit (LSB). In our presented case the simulations are performed in MATLAB development tool. The results are presented by multiple stego images using multiple cover images and secret messages that are embedded into them. The motivation is ever-increasing demands on the security of hidden data represented in images. The proposed solution is evaluated by parametric values as Peak signal-to-noise ratio (PSNR), mean squared error (MSE) and subsequently compared with well-known proposed solutions. The aim of this article is to design a solution that will come with high level of security and at the same time with lowest possible level of perceptibility. The system can be used to secure data in the medical field, respectively in the protection of copyrighted data.
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
Software Engineers' Questions and Answers on Stack Exchange Collision detection and response approaches for computer muscle modelling Supervised learning data preprocessing for short-term traffic flow prediction A 1D CNN-based model for IoT anomaly detection using INT data Image steganography with using QR code
×
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