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Towards an optimized security approach to IoT devices with confidential healthcare data exchange
Reliable data exchange and efficient image transfer are currently significant research challenges in health care systems. To incentivize data exchange within the Internet of Things (IoT) framework, we need to ensure data sovereignty by facilitating secure data exchange between trusted parties. The s...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996113/ https://www.ncbi.nlm.nih.gov/pubmed/33814966 http://dx.doi.org/10.1007/s11042-021-10827-x |
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author | Andreas, Andreou Mavromoustakis, Constandinos X. Mastorakis, George Do, Dinh-Thuan Batalla, Jordi Mongay Pallis, Evangelos Markakis, Evangelos K. |
author_facet | Andreas, Andreou Mavromoustakis, Constandinos X. Mastorakis, George Do, Dinh-Thuan Batalla, Jordi Mongay Pallis, Evangelos Markakis, Evangelos K. |
author_sort | Andreas, Andreou |
collection | PubMed |
description | Reliable data exchange and efficient image transfer are currently significant research challenges in health care systems. To incentivize data exchange within the Internet of Things (IoT) framework, we need to ensure data sovereignty by facilitating secure data exchange between trusted parties. The security and reliability of data-sharing infrastructure require a community of trust. Therefore, this paper introduces an encryption frame based on data fragmentation. It also presents a novel, deterministic grey-scale optical encryption scheme based on fundamental mathematics. The objective is to use encryption as the underlying measure to make the data unintelligible while exploiting fragmentation to break down sensitive relationships between attributes. Thus, sensitive data distributed in separate data repositories for decryption and reconstruction using interpolation by knowing polynomial coefficients and personal values from the DBMS Database Management System. Aims also to ensure the secure acquisition of diagnostic images, micrography, and all types of medical imagery based on probabilistic approaches. Visual sharing of confidential medical imageries based on implementing a novel method, where transparencies ≤k − 1 out of n cannot reveal the original image. |
format | Online Article Text |
id | pubmed-7996113 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-79961132021-03-29 Towards an optimized security approach to IoT devices with confidential healthcare data exchange Andreas, Andreou Mavromoustakis, Constandinos X. Mastorakis, George Do, Dinh-Thuan Batalla, Jordi Mongay Pallis, Evangelos Markakis, Evangelos K. Multimed Tools Appl 1194: Secured and Efficient Convergence of Artificial Intelligence and Internet of Things Reliable data exchange and efficient image transfer are currently significant research challenges in health care systems. To incentivize data exchange within the Internet of Things (IoT) framework, we need to ensure data sovereignty by facilitating secure data exchange between trusted parties. The security and reliability of data-sharing infrastructure require a community of trust. Therefore, this paper introduces an encryption frame based on data fragmentation. It also presents a novel, deterministic grey-scale optical encryption scheme based on fundamental mathematics. The objective is to use encryption as the underlying measure to make the data unintelligible while exploiting fragmentation to break down sensitive relationships between attributes. Thus, sensitive data distributed in separate data repositories for decryption and reconstruction using interpolation by knowing polynomial coefficients and personal values from the DBMS Database Management System. Aims also to ensure the secure acquisition of diagnostic images, micrography, and all types of medical imagery based on probabilistic approaches. Visual sharing of confidential medical imageries based on implementing a novel method, where transparencies ≤k − 1 out of n cannot reveal the original image. Springer US 2021-03-26 2021 /pmc/articles/PMC7996113/ /pubmed/33814966 http://dx.doi.org/10.1007/s11042-021-10827-x Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | 1194: Secured and Efficient Convergence of Artificial Intelligence and Internet of Things Andreas, Andreou Mavromoustakis, Constandinos X. Mastorakis, George Do, Dinh-Thuan Batalla, Jordi Mongay Pallis, Evangelos Markakis, Evangelos K. Towards an optimized security approach to IoT devices with confidential healthcare data exchange |
title | Towards an optimized security approach to IoT devices with confidential healthcare data exchange |
title_full | Towards an optimized security approach to IoT devices with confidential healthcare data exchange |
title_fullStr | Towards an optimized security approach to IoT devices with confidential healthcare data exchange |
title_full_unstemmed | Towards an optimized security approach to IoT devices with confidential healthcare data exchange |
title_short | Towards an optimized security approach to IoT devices with confidential healthcare data exchange |
title_sort | towards an optimized security approach to iot devices with confidential healthcare data exchange |
topic | 1194: Secured and Efficient Convergence of Artificial Intelligence and Internet of Things |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996113/ https://www.ncbi.nlm.nih.gov/pubmed/33814966 http://dx.doi.org/10.1007/s11042-021-10827-x |
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