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A secured compression technique based on encoding for sharing electronic patient data in slow-speed networks

Healthcare systems capture patients' data using different medical equipment and store it in the databases with a continual increase in data volume. The continuous processing and sharing of this massive data are rising concerns in live data transferring over the networks. Sending patient data to...

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Detalles Bibliográficos
Autores principales: Das, Subrata Kumar, Rahman, Mohammad Zahidur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529588/
https://www.ncbi.nlm.nih.gov/pubmed/36203895
http://dx.doi.org/10.1016/j.heliyon.2022.e10788
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author Das, Subrata Kumar
Rahman, Mohammad Zahidur
author_facet Das, Subrata Kumar
Rahman, Mohammad Zahidur
author_sort Das, Subrata Kumar
collection PubMed
description Healthcare systems capture patients' data using different medical equipment and store it in the databases with a continual increase in data volume. The continuous processing and sharing of this massive data are rising concerns in live data transferring over the networks. Sending patient data to the distant remote user without proper compressing format requires high latency in the communication channels. Any alternation of data transmitted via the communication medium may also cause issues in assuring data authentication and integrity. For solving the problems, watermarking method is being applied to ensure such security, which has a cheaper computational cost. Various watermarking mechanisms are available for ensuring health data security, especially for medical images. Watermarking on the text was not used yet due to the lack of efficient technique. This paper proposes a secured compression technique for patient live-text data while sharing them remotely over a bandwidth-deficient channel. To test the proposed system, we use patient data. The result indicates that the proposed strategy outperforms the existing compression methods and is robust enough to provide data integrity and authentication.
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spelling pubmed-95295882022-10-05 A secured compression technique based on encoding for sharing electronic patient data in slow-speed networks Das, Subrata Kumar Rahman, Mohammad Zahidur Heliyon Research Article Healthcare systems capture patients' data using different medical equipment and store it in the databases with a continual increase in data volume. The continuous processing and sharing of this massive data are rising concerns in live data transferring over the networks. Sending patient data to the distant remote user without proper compressing format requires high latency in the communication channels. Any alternation of data transmitted via the communication medium may also cause issues in assuring data authentication and integrity. For solving the problems, watermarking method is being applied to ensure such security, which has a cheaper computational cost. Various watermarking mechanisms are available for ensuring health data security, especially for medical images. Watermarking on the text was not used yet due to the lack of efficient technique. This paper proposes a secured compression technique for patient live-text data while sharing them remotely over a bandwidth-deficient channel. To test the proposed system, we use patient data. The result indicates that the proposed strategy outperforms the existing compression methods and is robust enough to provide data integrity and authentication. Elsevier 2022-09-29 /pmc/articles/PMC9529588/ /pubmed/36203895 http://dx.doi.org/10.1016/j.heliyon.2022.e10788 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Das, Subrata Kumar
Rahman, Mohammad Zahidur
A secured compression technique based on encoding for sharing electronic patient data in slow-speed networks
title A secured compression technique based on encoding for sharing electronic patient data in slow-speed networks
title_full A secured compression technique based on encoding for sharing electronic patient data in slow-speed networks
title_fullStr A secured compression technique based on encoding for sharing electronic patient data in slow-speed networks
title_full_unstemmed A secured compression technique based on encoding for sharing electronic patient data in slow-speed networks
title_short A secured compression technique based on encoding for sharing electronic patient data in slow-speed networks
title_sort secured compression technique based on encoding for sharing electronic patient data in slow-speed networks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529588/
https://www.ncbi.nlm.nih.gov/pubmed/36203895
http://dx.doi.org/10.1016/j.heliyon.2022.e10788
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