A Blockchain-based PHR Sharing Scheme with Attribute Privacy Protection

With the rapid advancement and application of the Internet of Medical Things (IoMT), personal health records (PHRs) are now increasingly comprised of data collected by Internet of Things (IoT) devices and medical records documented by healthcare professionals. Personal health record (PHR) sharing demonstrates great potential in improving the accuracy of disease diagnosis. However, PHR sharing also brings risks such as illegal access and personal information leakage. Some works explored using blockchain or attribute-based encryption (ABE) to solve these privacy leakage problems, but those solutions did not pay attention to the user’s attribute privacy. In this work, we combine a linear secret sharing scheme (LSSS) and zero-knowledge succinct non-interactive argument of knowledge (zkSNARK) scheme to design an efficient zero-knowledge proof protocol called zk-AHSNARK. It can verify the user’s attribute permissions while also hiding attribute information. Based on zk-AHSNARK, we propose a novel PHR sharing scheme that protects attribute privacy. Data security is ensured by storing encrypted data in the interplanetary file system (IPFS). In addition, we introduce keyword ciphertext search to achieve fast data retrieval, and we implement the search and verification algorithms via a smart contract, ensuring the trustworthiness and integrity of the execution. Finally, through a large number of simulations, we demonstrated the suggested scheme’s viability and security.

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Published
2024-12-17
DOI
https://doi.org/10.1109/trustcom63139.2024.00287
Primary Topic
Cloud Data Security Solutions
Type
article
Field-Weighted Citation Impact
0.00

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article

A Blockchain-based PHR Sharing Scheme with Attribute Privacy Protection

Anming Dong, Chenghuai Lu, Xiang Tian, Zhongyuan Yu et al.
Cloud Data Security Solutions
article

A Blockchain-based PHR Sharing Scheme with Attribute Privacy Protection

Anming Dong, Chenghuai Lu, Xiang Tian, Zhongyuan Yu, Guijuan Wang
article en

Abstract

With the rapid advancement and application of the Internet of Medical Things (IoMT), personal health records (PHRs) are now increasingly comprised of data collected by Internet of Things (IoT) devices and medical records documented by healthcare professionals. Personal health record (PHR) sharing demonstrates great potential in improving the accuracy of disease diagnosis. However, PHR sharing also brings risks such as illegal access and personal information leakage. Some works explored using blockchain or attribute-based encryption (ABE) to solve these privacy leakage problems, but those solutions did not pay attention to the user’s attribute privacy. In this work, we combine a linear secret sharing scheme (LSSS) and zero-knowledge succinct non-interactive argument of knowledge (zkSNARK) scheme to design an efficient zero-knowledge proof protocol called zk-AHSNARK. It can verify the user’s attribute permissions while also hiding attribute information. Based on zk-AHSNARK, we propose a novel PHR sharing scheme that protects attribute privacy. Data security is ensured by storing encrypted data in the interplanetary file system (IPFS). In addition, we introduce keyword ciphertext search to achieve fast data retrieval, and we implement the search and verification algorithms via a smart contract, ensuring the trustworthiness and integrity of the execution. Finally, through a large number of simulations, we demonstrated the suggested scheme’s viability and security.

Qilu University of Technology (CN), Qufu Normal University (CN), Shandong Academy of Sciences (CN), Lanzhou University (CN)
National Science Foundation, Shandong Academy of Sciences
Peace, Justice and strong institutions
Openalex Percentile: Top 54%
Cloud Data Security Solutions
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A Blockchain-based PHR Sharing Scheme with Attribute Privacy Protection — Anming Dong, Chenghuai Lu, et al. · (2024) | TGRS Research Map | TGRS