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}
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.