A novel approach to secure biomedical images and videos for transmission

Kunal Hossain, Susovan Jana, S. Mukherjee, R. Parekh
{"title":"A novel approach to secure biomedical images and videos for transmission","authors":"Kunal Hossain, Susovan Jana, S. Mukherjee, R. Parekh","doi":"10.1109/ICRCICN.2017.8234492","DOIUrl":null,"url":null,"abstract":"Digital representation of biomedical images and videos has grown enormously in scope and gained importance in recent years. Preserving security and integrity in wireless transmission of biomedical images and videos is an utmost challenge. Manipulation of sensitive biomedical data in the path of transmission can mislead critical diagnosis and treatment. To overcome this, multi-level security is provided by applying encryption and stegonagraphy techniques to protect biomedical images and videos. In the proposed approach, biomedical images are considered to be RGB images and each segmented video frames are treated as RGB images. Discrete Cosine Transform (DCT), Pixel flipping and Least Significant Bit (LSB) substitution mechanisms are applied to form the stego-image followed by image encryption that increases robustness and hiding technique. Original images and videos can be retrieved by using key-based decryption algorithm, LSB, and Pixel flipping mechanism.","PeriodicalId":166298,"journal":{"name":"2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRCICN.2017.8234492","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Digital representation of biomedical images and videos has grown enormously in scope and gained importance in recent years. Preserving security and integrity in wireless transmission of biomedical images and videos is an utmost challenge. Manipulation of sensitive biomedical data in the path of transmission can mislead critical diagnosis and treatment. To overcome this, multi-level security is provided by applying encryption and stegonagraphy techniques to protect biomedical images and videos. In the proposed approach, biomedical images are considered to be RGB images and each segmented video frames are treated as RGB images. Discrete Cosine Transform (DCT), Pixel flipping and Least Significant Bit (LSB) substitution mechanisms are applied to form the stego-image followed by image encryption that increases robustness and hiding technique. Original images and videos can be retrieved by using key-based decryption algorithm, LSB, and Pixel flipping mechanism.
一种保护生物医学图像和视频传输的新方法
近年来,生物医学图像和视频的数字表示在范围和重要性方面都有了很大的发展。保持生物医学图像和视频无线传输的安全性和完整性是一个最大的挑战。在传播路径上操纵敏感的生物医学数据可能会误导关键的诊断和治疗。为了克服这一点,通过应用加密和隐写技术来保护生物医学图像和视频,提供了多级安全性。在该方法中,将生物医学图像视为RGB图像,并将每个分割的视频帧视为RGB图像。采用离散余弦变换(DCT)、像素翻转和最低有效位(LSB)替换机制形成隐编码图像,然后进行图像加密,增强鲁棒性和隐藏技术。采用基于密钥的解密算法、LSB算法和像素翻转机制实现了原始图像和视频的检索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信