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Secure and Privacy-Compliant Data Sharing: An Essential Framework for Healthcare Organizations

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dc.contributor.authorWalid, Redwan
dc.contributor.authorJoshi, Karuna
dc.contributor.authorElluri, Lavanya
dc.date.accessioned2023-12-15T15:21:41Z
dc.date.available2023-12-15T15:21:41Z
dc.date.issued2024-01-04
dc.description10th International Conference on Mathematics and Computing ICMC 2024
dc.description.abstractData integration from multiple sources can improve decision-making and predict epidemiological trends. While there are many ben- eőts to data integration, there are also privacy concerns, especially in healthcare. The Health Insurance Portability and Accountability Act (HIPAA) is one of the essential regulations in healthcare, and it sets strict standards for the privacy and security of patient data. Often, data integration can be complex because different rules apply to different companies. Many existing data integration technologies are domain-speciőc and theoretical, while others rigorously adhere to uniőed data integration. Moreover, the integration systems do not have semantic access control, which causes privacy breaches. We propose a framework using a knowledge graph for sharing and integrating data across healthcare providers by protecting data privacy. We use an ontology to provide Attribute-Based Access Control (ABAC) for preventing excess or unwanted access based on the user attributes or central organization rules. The data is shared by removing sensitive attributes and anonymizing the rest using k-anonymity to strike a balance between data utility and secret information. A metadata layer describes the schema mapping to integrate data from multiple sources. Our framework is a promising approach to data integration in healthcare, and it addresses some of the critical challenges of data integration in this domain.
dc.description.sponsorshipThis work has been supported by Center for Accelerated Real Time Analytics (CARTA), Office of Naval Research (ONR) under grants N00014-18-1-2453, N00014-19-WX-00568, and N00014-20-WX01704 and National Science Foundation (NSF) under grant 1955319.
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/1128/Secure-and-Privacy-Compliant-Data-Sharing-An-Essential-Framework-for-Healthcare-Organizations
dc.format.extent12 pages
dc.genreconference papers and proceedings
dc.genrepreprints
dc.identifier.urihttp://hdl.handle.net/11603/31109
dc.language.isoen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Center for Accelerated Real Time Analysis
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectUMBC Ebiquity Research Group
dc.titleSecure and Privacy-Compliant Data Sharing: An Essential Framework for Healthcare Organizations
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-1303-0909
dcterms.creatorhttps://orcid.org/0000-0002-6354-1686

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