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Blockchain-Based Reversible Data Hiding for Securing Medical Images

Medical images carry a lot of important information for making a medical diagnosis. Since the medical images need to be communicated frequently to allow timely and accurate diagnosis, it has become a target for malicious attacks. Hence, medical images are protected through encryption algorithms. Rec...

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Autores principales: Horng, Ji-Hwei, Chang, Ching-Chun, Li, Guan-Long, Lee, Wai-Kong, Hwang, Seong Oun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123997/
https://www.ncbi.nlm.nih.gov/pubmed/34035885
http://dx.doi.org/10.1155/2021/9943402
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author Horng, Ji-Hwei
Chang, Ching-Chun
Li, Guan-Long
Lee, Wai-Kong
Hwang, Seong Oun
author_facet Horng, Ji-Hwei
Chang, Ching-Chun
Li, Guan-Long
Lee, Wai-Kong
Hwang, Seong Oun
author_sort Horng, Ji-Hwei
collection PubMed
description Medical images carry a lot of important information for making a medical diagnosis. Since the medical images need to be communicated frequently to allow timely and accurate diagnosis, it has become a target for malicious attacks. Hence, medical images are protected through encryption algorithms. Recently, reversible data hiding on the encrypted images (RDHEI) schemes are employed to embed private information into the medical images. This allows effective and secure communication, wherein the privately embedded information (e.g., medical records and personal information) is very useful to the medical diagnosis. However, existing RDHEI schemes still suffer from low embedding capacity, which limits their applicability. Besides, such solution still lacks a good mechanism to ensure its integrity and traceability. To resolve these issues, a novel approach based on image block-wise encryption and histogram shifting is proposed to provide more embedding capacity in the encrypted images. The embedding rate is over 0.8 bpp for typical medical images. On top of that, a blockchain-based system for RDHEI is proposed to resolve the traceability. The private information is stored on the blockchain together with the hash value of the original medical image. This allows traceability of all the medical images communicated over the proposed blockchain network.
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spelling pubmed-81239972021-05-24 Blockchain-Based Reversible Data Hiding for Securing Medical Images Horng, Ji-Hwei Chang, Ching-Chun Li, Guan-Long Lee, Wai-Kong Hwang, Seong Oun J Healthc Eng Research Article Medical images carry a lot of important information for making a medical diagnosis. Since the medical images need to be communicated frequently to allow timely and accurate diagnosis, it has become a target for malicious attacks. Hence, medical images are protected through encryption algorithms. Recently, reversible data hiding on the encrypted images (RDHEI) schemes are employed to embed private information into the medical images. This allows effective and secure communication, wherein the privately embedded information (e.g., medical records and personal information) is very useful to the medical diagnosis. However, existing RDHEI schemes still suffer from low embedding capacity, which limits their applicability. Besides, such solution still lacks a good mechanism to ensure its integrity and traceability. To resolve these issues, a novel approach based on image block-wise encryption and histogram shifting is proposed to provide more embedding capacity in the encrypted images. The embedding rate is over 0.8 bpp for typical medical images. On top of that, a blockchain-based system for RDHEI is proposed to resolve the traceability. The private information is stored on the blockchain together with the hash value of the original medical image. This allows traceability of all the medical images communicated over the proposed blockchain network. Hindawi 2021-05-07 /pmc/articles/PMC8123997/ /pubmed/34035885 http://dx.doi.org/10.1155/2021/9943402 Text en Copyright © 2021 Ji-Hwei Horng et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Horng, Ji-Hwei
Chang, Ching-Chun
Li, Guan-Long
Lee, Wai-Kong
Hwang, Seong Oun
Blockchain-Based Reversible Data Hiding for Securing Medical Images
title Blockchain-Based Reversible Data Hiding for Securing Medical Images
title_full Blockchain-Based Reversible Data Hiding for Securing Medical Images
title_fullStr Blockchain-Based Reversible Data Hiding for Securing Medical Images
title_full_unstemmed Blockchain-Based Reversible Data Hiding for Securing Medical Images
title_short Blockchain-Based Reversible Data Hiding for Securing Medical Images
title_sort blockchain-based reversible data hiding for securing medical images
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123997/
https://www.ncbi.nlm.nih.gov/pubmed/34035885
http://dx.doi.org/10.1155/2021/9943402
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