PrivOff: Secure and Privacy-Preserving Data Management for Distributed Off-Chain Networks

In today's healthcare landscape, emerging technologies serve as crucial foundations, and the integration of blockchain technology into this rapidly evolving digital framework is invaluable. However, the healthcare industry has long struggled with managing the immense and ever-expanding amount o...

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Bibliographic Details
Main Authors: Hlaing, Htet Htet, Asaeda, Hitoshi
Format: Conference Proceeding
Language:English
Subjects:
Big Data
blockchain
Blockchains
Data privacy
data security
Distributed off-chain networks
File systems
Industries
Information sharing
Medical services
privacy
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Summary:In today's healthcare landscape, emerging technologies serve as crucial foundations, and the integration of blockchain technology into this rapidly evolving digital framework is invaluable. However, the healthcare industry has long struggled with managing the immense and ever-expanding amount of big data electronic health records (EHRs) collected from various sources, including the Internet of Things (IoT), wearable devices, and mobile applications. The storage of all these big data EHRs on the chain creates blockchain bloat, leading to slow transaction speed and high storage costs. More importantly, it incurs security and privacy leakage problems while sharing patients' sensitive data transparently with a wide range of users in a distributed network. To address these challenges, we propose a secure and privacy-preserving data management system for distributed off-chain networks called PrivOff based on blockchain technology, which stores big EHRs separately in the decentralized file system with efficient access control enforcement and flexible revocation to prevent data breaches. In addition, patients can securely share data without revealing their unique identities to ensure privacy. The evaluation results and security analysis reveal that PrivOff can notably reduce the blockchain storage burden while offering data security, patient privacy, and high data availability.
ISSN:2324-9013
DOI:10.1109/TrustCom60117.2023.00062