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...
| Publicado en: | Journal of Medical Systems Vol. 40; no. 11; pp. 1 - 9 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Nov2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=119486332&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 119486332 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Nov2016 vid: 40 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 119486332 10.1007/s10916-016-0581-7 119486332 ppf: 1 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Semantically Enriched Data Access Policies in eHealth. aug: au: Drozdowicz, Michał Ganzha, Maria Paprzycki, Marcin affil: Systems Research Institute Polish Academy of Sciences, Warsaw, Poland. sug: ab: 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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