Semantically Enriched Data Access Policies in eHealth

Internet of Things (IoT) requires novel solutions to facilitate autonomous, though controlled, resource access. Access policies have to facilitate interactions between heterogeneous entities (devices and humans). Here, we focus our attention on access control in eHealth. We propose an approach based...

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Detalles Bibliográficos
Autores principales: Drozdowicz, Michał, Ganzha, Maria, Paprzycki, Marcin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
Materias:
Systems-Level Quality Improvement
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5035651/
https://www.ncbi.nlm.nih.gov/pubmed/27665112
http://dx.doi.org/10.1007/s10916-016-0581-7
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author Drozdowicz, Michał
Ganzha, Maria
Paprzycki, Marcin
author_facet Drozdowicz, Michał
Ganzha, Maria
Paprzycki, Marcin
author_sort Drozdowicz, Michał
collection PubMed
description Internet of Things (IoT) requires novel solutions to facilitate autonomous, though controlled, resource access. Access policies have to facilitate interactions between heterogeneous entities (devices and humans). Here, we focus our attention on access control in eHealth. We propose an approach based on enriching policies, based on well-known and widely-used eXtensible Access Control Markup Language, with semantics. In the paper we describe an implementation of a Policy Information Point integrated with the HL7 Security and Privacy Ontology.
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spelling pubmed-50356512016-10-09 Semantically Enriched Data Access Policies in eHealth Drozdowicz, Michał Ganzha, Maria Paprzycki, Marcin J Med Syst Systems-Level Quality Improvement Internet of Things (IoT) requires novel solutions to facilitate autonomous, though controlled, resource access. Access policies have to facilitate interactions between heterogeneous entities (devices and humans). Here, we focus our attention on access control in eHealth. We propose an approach based on enriching policies, based on well-known and widely-used eXtensible Access Control Markup Language, with semantics. In the paper we describe an implementation of a Policy Information Point integrated with the HL7 Security and Privacy Ontology. Springer US 2016-09-24 2016 /pmc/articles/PMC5035651/ /pubmed/27665112 http://dx.doi.org/10.1007/s10916-016-0581-7 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Systems-Level Quality Improvement
Drozdowicz, Michał
Ganzha, Maria
Paprzycki, Marcin
Semantically Enriched Data Access Policies in eHealth
title Semantically Enriched Data Access Policies in eHealth
title_full Semantically Enriched Data Access Policies in eHealth
title_fullStr Semantically Enriched Data Access Policies in eHealth
title_full_unstemmed Semantically Enriched Data Access Policies in eHealth
title_short Semantically Enriched Data Access Policies in eHealth
title_sort semantically enriched data access policies in ehealth
topic Systems-Level Quality Improvement
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5035651/
https://www.ncbi.nlm.nih.gov/pubmed/27665112
http://dx.doi.org/10.1007/s10916-016-0581-7
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