{"title":"Secure transmission of medical information using IRIS recognition and steganography","authors":"S. Barkathunisha, R. Meenakumari","doi":"10.1109/ICCPEIC.2013.6778504","DOIUrl":null,"url":null,"abstract":"Medical information is extremely high sensitive in nature. Tampering by a third party may result in identity theft and incorrect diagnosis. Hence, it is important to secure the transfer of medical information from the patient to the remote system where the specialist. The proposed work decomposes this problem into two sub-problems and proposes security solutions to each of them: (1) to secure the link between the patient and the device, and (2) to secure the link between the device and the network. Biometric identification is extremely an effective authentication. Thus we push the limits of the network security to the edge by authenticating the user using their biometric information; authenticating the device to the network at the physical layer and strengthening the security of the wireless link using steganography. The proposed authentication methods can be used for recording the medical data in a central database and for accessing medical records in various settings. An algorithm for visual cryptography and steganography is built using MATLAB platform. The proposed work considers iris images for authentication it was taken from CASIA Iris Image Database V4.0.","PeriodicalId":411175,"journal":{"name":"2013 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC)","volume":"154 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCPEIC.2013.6778504","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Medical information is extremely high sensitive in nature. Tampering by a third party may result in identity theft and incorrect diagnosis. Hence, it is important to secure the transfer of medical information from the patient to the remote system where the specialist. The proposed work decomposes this problem into two sub-problems and proposes security solutions to each of them: (1) to secure the link between the patient and the device, and (2) to secure the link between the device and the network. Biometric identification is extremely an effective authentication. Thus we push the limits of the network security to the edge by authenticating the user using their biometric information; authenticating the device to the network at the physical layer and strengthening the security of the wireless link using steganography. The proposed authentication methods can be used for recording the medical data in a central database and for accessing medical records in various settings. An algorithm for visual cryptography and steganography is built using MATLAB platform. The proposed work considers iris images for authentication it was taken from CASIA Iris Image Database V4.0.