Semantically Rich Access Control in Cloud EHR Systems Based on MA-ABE

dc.contributor.authorDixit, Sharad
dc.contributor.authorJoshi, Karuna Pande
dc.contributor.authorChoi, SeungGeol
dc.contributor.authorElluri, Lavanya
dc.date.accessioned2022-06-27T21:10:40Z
dc.date.available2022-06-27T21:10:40Z
dc.date.issued2022-06-27
dc.descriptionIn proceedings of 8th IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2022)en_US
dc.description.abstractWith the rapid implementation of Cloud-based Electronic Health Record (EHR) systems, health providers are specifically concerned about handling data privacy on the cloud. Existing methods have either scalability issues by requiring that patients grant access to their medical data or a trust issue by having a single authority, thereby creating the problem of a single point of attack. Hence there is a need to develop an EHR system that addresses these bottlenecks for safe, secure, and easy cloud-based EHR management. To address these bottlenecks, we have developed a novel framework that allows policy-based multi-authority access permission to Electronic Health Record systems used by multiple care providers from various places or organizations. This framework, residing on the Edge, has been built using the Multi-Authority Attribute Based Encryption (MA-ABE) and Semantic Web technologies to provide a safe, semantically rich approach to facilitate secure data sharing among organizations who manage different attributes of end-users using a shared dataset. This paper describes our novel approach and the proof of concept prototype that we created to evaluate our framework.en_US
dc.description.sponsorshipThis research was supported by the Office of Naval Research and the National Science Foundation. We thank Adam Aviv, Travis Mayberry, and Daniel Roche, and members of the Ebiquity Research Group for their vital feedback.en_US
dc.description.urihttps://ieeexplore.ieee.org/document/9799462en_US
dc.format.extent10 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.genrepreprintsen_US
dc.identifierdoi:10.13016/m2refj-34rd
dc.identifier.citationS. Dixit, K. P. Joshi, S. G. Choi and L. Elluri, "Semantically Rich Access Control in Cloud EHR Systems Based on MA-ABE," 2022 IEEE 8th 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), Jinan, China, 2022, pp. 1-10, doi: 10.1109/BigDataSecurityHPSCIDS54978.2022.00012.
dc.identifier.urihttp://hdl.handle.net/11603/25063
dc.identifier.urihttps://doi.org/10.1109/BigDataSecurityHPSCIDS54978.2022.00012
dc.language.isoen_USen_US
dc.publisherIEEEen_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.rights© 2022 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 Group
dc.titleSemantically Rich Access Control in Cloud EHR Systems Based on MA-ABEen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-6354-1686en_US

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