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.