Semantically Rich and Encrypted Cloud EHR System with MA-ABE
dc.contributor.advisor | Joshi, Karuna Pande | |
dc.contributor.author | Dixit, Sharad | |
dc.contributor.department | Computer Science and Electrical Engineering | |
dc.contributor.program | Computer Science | |
dc.date.accessioned | 2021-09-01T13:55:28Z | |
dc.date.available | 2021-09-01T13:55:28Z | |
dc.date.issued | 2019-01-01 | |
dc.description.abstract | With the rapid adoption of Cloud-based Electronic Health Record (EHR) systems, health providers are particularly concerned about managing data privacy on the cloud. Existing approaches have either a scalability bottleneck by requiring that patients approve each sharing of their medical data or a trust bottleneck by having a single authority control every access thereby creating the problem of a single point of attack. Hence there is a need of developing a EHR system which address both these bottlenecks for safe, secure and easy cloud-based EHR management. This theses presents a novel framework that enables policy based multi-authority access authorization to EHR systems accessed by multiple care providers from different locations or organizations. This framework, which resides on the Edge, has been built using the Multi-Authority Attribute Based Encryption (MA-ABE) and Semantic Web technologies to provide a secure, semantically rich approach to facilitate secure data sharing among organizations who manage different attributes of end users using a shared dataset, transferring the service management overhead from either the patient or a central authority to multiple authorities. | |
dc.format | application:pdf | |
dc.genre | theses | |
dc.identifier | doi:10.13016/m2n09l-d272 | |
dc.identifier.other | 12116 | |
dc.identifier.uri | http://hdl.handle.net/11603/22846 | |
dc.language | en | |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC Computer Science and Electrical Engineering Department Collection | |
dc.relation.ispartof | UMBC Theses and Dissertations Collection | |
dc.relation.ispartof | UMBC Graduate School Collection | |
dc.relation.ispartof | UMBC Student Collection | |
dc.source | Original File Name: Dixit_umbc_0434M_12116.pdf | |
dc.subject | Cloud Computing | |
dc.subject | Data Encryption | |
dc.subject | Edge Computing | |
dc.subject | MA-ABE | |
dc.subject | Security | |
dc.subject | Semantic Web Technologies | |
dc.title | Semantically Rich and Encrypted Cloud EHR System with MA-ABE | |
dc.type | Text | |
dcterms.accessRights | Access limited to the UMBC community. Item may possibly be obtained via Interlibrary Loan thorugh a local library, pending author/copyright holder's permission. | |
dcterms.accessRights | This item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please see http://aok.lib.umbc.edu/specoll/repro.php or contact Special Collections at speccoll(at)umbc.edu |
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