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  • 标题:Consent Based Access Policy Framework
  • 本地全文:下载
  • 作者:Geetha Madadevaiah ; RV Prasad ; Amogh Hiremath
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2019
  • 卷号:9
  • 期号:5
  • 页码:1-14
  • DOI:10.5121/csit.2019.90504
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:In this paper, we use Semantic Web Technologies to store and share the sensitive medical data in a secure manner. The framework builds on the advantages of the Semantic Web technologies and makes it secure and robust for sharing sensitive information in a controlled environment. The framework uses a combination of Role-Based and Rule-Based Access Policies to provide security to a medical data repository. To support the framework, we built a lightweight ontology to collect consent from the users indicating which part of their data they want to share with another user having a particular role. Here, we have considered the scenario of sharing the medical data by the owner of data, say the patient, with relevant people such as physicians, researchers, pharmacist, etc. We developed a prototype,which is validated using Sesame Open RDF Workbench with 202,908 triples and a consent graph stating consents per patient.
  • 关键词:Access Policies; Semantic Web;RDF;SPARQL; Role Based; Rule Based
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