{"title":"Using Iris recognition to secure medical images on the cloud","authors":"Heba M. Sabri, Nashaat Elkhameesy, H. Hefny","doi":"10.1109/ICOCS.2015.7483215","DOIUrl":null,"url":null,"abstract":"Sharing images via Internet is very important and widely used nowadays especially medical images. Medical Image Sharing is a term for the electronic exchange of medical images between hospitals, physicians and patients. Rather than using traditional media, such as a CD or DVD, and either shipping it out or having patients carry it with them, technology now allows sharing of these images using the internet. In this research paper, the proposed approach is to secure medical images stored in the cloud by using Iris recognition as a human biometrics to check identity of the user who has the authorization to access the medical images. Experiments using well know benchmark CASIA-Iris V4 data sets show that the obtained results is more efficient in protecting the data on the cloud compared to the approach presented in [24] by 20%.","PeriodicalId":123709,"journal":{"name":"2015 Third World Conference on Complex Systems (WCCS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Third World Conference on Complex Systems (WCCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOCS.2015.7483215","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Sharing images via Internet is very important and widely used nowadays especially medical images. Medical Image Sharing is a term for the electronic exchange of medical images between hospitals, physicians and patients. Rather than using traditional media, such as a CD or DVD, and either shipping it out or having patients carry it with them, technology now allows sharing of these images using the internet. In this research paper, the proposed approach is to secure medical images stored in the cloud by using Iris recognition as a human biometrics to check identity of the user who has the authorization to access the medical images. Experiments using well know benchmark CASIA-Iris V4 data sets show that the obtained results is more efficient in protecting the data on the cloud compared to the approach presented in [24] by 20%.