Semantically Rich Differential Access to Secure Cloud HER

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https://ieeexplore.ieee.org/document/10132149

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http://hdl.handle.net/11603/28128
 https://doi.org/10.1109/BigDataSecurity-HPSC-IDS58521.2023.00012

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UMBC Information Systems Department
UMBC Faculty Collection
UMBC Student Collection

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Author/Creator ORCID

https://orcid.org/0000-0002-1303-0909
 https://orcid.org/0000-0002-6354-1686

Date

2023-05-26

Type of Work

conference papers and proceedings
preprints
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Program

Citation of Original Publication

R. 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.

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Subjects

UMBC Ebiquity Research Group

Abstract

Existing 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.