Title
Toward secure, privacy-preserving, and interoperable medical data sharing via blockchain
Document Type
Conference Proceeding
Publication Title
Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS
Publication Date
12-1-2019
Abstract
In the era of cloud computing and big data analysis, how to efficiently share and utilize medical information scattered across various care providers has become a critical problem. This paper proposes a new framework for sharing medical data in a secure and privacy-preserving way. This framework holistically integrates multi-Authority attribute based encryption, blockchain and smart contract, as well as software defined networking to define and enforce sharing policies. Specifically in our framework, patients' medical records are encrypted and stored in hospital databases, where strict access controls are enforced with attribute based encryption coupled with privacy level classification. Our framework leverages blockchain technology to connect scattered private databases from participating hospitals for efficient and secure data provision, smart contracts to enable the business logic of clinical data usage, and software defined networking to revoke sharing privileges. The performance evaluation of our prototype demonstrates that the associated computation costs are reasonable in practice.
Volume
2019-December
First Page
852
Last Page
861
DOI
10.1109/ICPADS47876.2019.00126
ISSN
15219097
ISBN
9781728125831
Recommended Citation
Jin, Hao; Xu, Chen; Luo, Yan; Li, Peilong; Cao, Yu; and Mathew, Jomol, "Toward secure, privacy-preserving, and interoperable medical data sharing via blockchain" (2019). Faculty Publications. 881.
https://jayscholar.etown.edu/facpubharvest/881