Semantically Rich Differential Access to Secure Cloud HER

dc.contributor.authorWalid, Redwan
dc.contributor.authorJoshi, Karuna Pande
dc.contributor.authorChoi, SeungGeol
dc.date.accessioned2023-06-07T20:08:14Z
dc.date.available2023-06-07T20:08:14Z
dc.date.issued2023-05-26
dc.description9th IEEE International Conference on Big Data Security on Cloud (Big Data Security 2023), New York, NY, May 6-8, 2023.en_US
dc.description.abstractExisting Cloud-based Electronic Health Record (EHR) services face challenges in handling heterogeneous data and maintaining performance with large records since they often use a relational database or only partially store information in a graph database. We have developed a novel approach that allows fine-grained field-level security for Cloud EHRs to protect patient privacy and data security. Our graph-based EHR has been developed by integrating Attribute-based Encryption (ABE) with ontology reasoning using Semantic Web technologies. The novelty of our approach lies in providing differential access to an EHR by using a comprehensive knowledge graph that stores all medical data as encrypted nodes, thereby handling heterogeneous patient data while preserving good performance. In this paper, we describe our system in detail, along with the results demonstrating that the system maintains consistent data retrieval performance with different data sizes and allows real-time updates on the data while supporting queries.en_US
dc.description.sponsorshipThis work has been supported by Office of Naval Research under grants N00014-18-1-2453, N00014-19-WX-00568, and N00014-20-WX01704 and by NSF grant 1955319.en_US
dc.description.urihttps://ieeexplore.ieee.org/document/10132149en_US
dc.format.extent9 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.genrepreprintsen_US
dc.identifierdoi:10.13016/m2bi8z-wobg
dc.identifier.citationR. Walid, K. P. Joshi and S. Geol Choi, "Semantically Rich Differential Access to Secure Cloud EHR," 2023 IEEE 9th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS), New York, NY, USA, 2023, pp. 1-9, doi: 10.1109/BigDataSecurity-HPSC-IDS58521.2023.00012.
dc.identifier.urihttp://hdl.handle.net/11603/28128
dc.identifier.urihttps://doi.org/10.1109/BigDataSecurity-HPSC-IDS58521.2023.00012
dc.language.isoen_USen_US
dc.publisherIEEE
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.rights© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleSemantically Rich Differential Access to Secure Cloud HERen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-1303-0909en_US
dcterms.creatorhttps://orcid.org/0000-0002-6354-1686en_US

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