Towards Efficient and Privacy-Preserving Data Sharing Scheme for Aging in Place

With the global aging population rising rapidly, the Aging in Place (AiP) system has gained significant attention and is seen as a vital strategy for meeting the diverse needs of older adults. In the AiP system, Electronic Health Records (EHRs) play a critical role in managing the healthcare records of older adults. Compared to traditional medical records, EHRs in AiP include not only clinical data but also data from Internet of Things (IoT) devices, social determinants of health, and other sources, resulting in a significant increase in the volume of EHRs. Consequently, preserving the privacy of these EMRs while sharing with access control in AiP scenarios becomes a significant challenge. Many data sharing schemes based on Attribute-Based Encryption (ABE) suffer from limited computational efficiency and inadequate privacy protections. To address these issues, we propose an efficient and privacy-preserving data sharing scheme for AiP systems. Our scheme not only facilitates the sharing of large files with matched users but also conceals the policy from other users. Furthermore, our proposed scheme is secure under the semi-honest model, and experiments demonstrate its high efficiency.

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Published
2025-06-08
DOI
https://doi.org/10.1109/icc52391.2025.11161028
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
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article

Towards Efficient and Privacy-Preserving Data Sharing Scheme for Aging in Place

Zhuliang Jia, Mohammad Mamun, Rongxing Lu, Jinkun Gui
Privacy-Preserving Technologies in Data
article

Towards Efficient and Privacy-Preserving Data Sharing Scheme for Aging in Place

Zhuliang Jia, Mohammad Mamun, Rongxing Lu, Jinkun Gui
article en

Abstract

With the global aging population rising rapidly, the Aging in Place (AiP) system has gained significant attention and is seen as a vital strategy for meeting the diverse needs of older adults. In the AiP system, Electronic Health Records (EHRs) play a critical role in managing the healthcare records of older adults. Compared to traditional medical records, EHRs in AiP include not only clinical data but also data from Internet of Things (IoT) devices, social determinants of health, and other sources, resulting in a significant increase in the volume of EHRs. Consequently, preserving the privacy of these EMRs while sharing with access control in AiP scenarios becomes a significant challenge. Many data sharing schemes based on Attribute-Based Encryption (ABE) suffer from limited computational efficiency and inadequate privacy protections. To address these issues, we propose an efficient and privacy-preserving data sharing scheme for AiP systems. Our scheme not only facilitates the sharing of large files with matched users but also conceals the policy from other users. Furthermore, our proposed scheme is secure under the semi-honest model, and experiments demonstrate its high efficiency.

University of New Brunswick (CA), Queen's University (CA), Research and Productivity Council (CA)
Openalex Percentile: Top 86%
Privacy-Preserving Technologies in Data
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