دانلود مقاله انگلیسی رایگان:تله پزشکی امن با استفاده از رمزنگاری بصری نیمه تمام RONI بدون گسترش پیکسل - 2019
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  • Secure telemedicine using RONI halftoned visual cryptography without pixel expansion Secure telemedicine using RONI halftoned visual cryptography without pixel expansion
    Secure telemedicine using RONI halftoned visual cryptography without pixel expansion

    سال انتشار:

    2019


    عنوان انگلیسی مقاله:

    Secure telemedicine using RONI halftoned visual cryptography without pixel expansion


    ترجمه فارسی عنوان مقاله:

    تله پزشکی امن با استفاده از رمزنگاری بصری نیمه تمام RONI بدون گسترش پیکسل


    منبع:

    Sciencedirect - Elsevier - Journal of Information Security and Applications, 46 (2019) 281-295: doi:10:1016/j:jisa:2019:03:004


    نویسنده:

    Arvind Bakshi ∗, Anoop Kumar Patel


    چکیده انگلیسی:

    To provide quality healthcare services worldwide telemedicine is a well-known technique. It delivers healthcare services remotely. For the diagnosis of disease and prescription by the doctor, lots of infor- mation is needed to be shared over public and private channels. Medical information like MRI, X-Ray, CT-scan etc. contains very personal information and needs to be secured. Security like confidentiality, privacy, and integrity of medical data is still a challenge. It is observed that the existing security tech- niques like digital watermarking, encryption are not efficient for real-time use. This paper investigates the problem and provides the solution of security considering major aspects, using Visual Cryptography (VC). The proposed algorithm creates shares for parts of the image which does not have relevant infor- mation. All the information which contains data related to the disease is supposed to be relevant and is marked as the region of interest (ROI). The integrity of the image is maintained by inserting some information in the region of non-interest (RONI). All the shares generated are transmitted over different channels and embedded information is decrypted by overlapping (in XOR fashion) shares in θ(1) time. Visual perception of all the results discussed in this article is very clear. The proposed algorithm has per- formance metrics as PSNR (peak signal-to-noise ratio), SSIM (structure similarity matrix), and Accuracy having values 22.9452, 0.9701, and 99.8740 respectively.
    Keywords: Error diffusion | Halftone | RONI | Telemedicine | Visual cryptography


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 15
    حجم فایل: 4945 کیلوبایت

    قیمت: رایگان


    توضیحات اضافی:




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