Medical Data Management on Blockchain with Privacy.
Medical data are important in diagnosis, treatment, recovery, and medical accident investigation. The integrity and availability of medical data are the basic guarantee for the smooth operation of these activities. The privacy of medical data is a natural demand from the sensitivity of medical data....
| Published in: | Journal of Medical Systems Vol. 43; no. 2; pp. 1 - 2 |
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| Main Authors: | , , |
| Format: | equations & formulas tables/charts Journal Article |
| Published: |
Springer Nature
Feb2019
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=134561911&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 134561911 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Feb2019 vid: 43 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 134561911 134561911 134561911 10.1007/s10916-018-1144-x 134561911 ppf: 1 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Medical Data Management on Blockchain with Privacy. aug: au: Tian, Haibo He, Jiejie Ding, Yong affil: Guangdong Key Laboratory of Information Security, School of Data and Computer Science, Sun Yat-Sen University, 510275, Guangzhou, Guangdong, People's Republic of China sug: subj: Data Security Methods Privacy and Confidentiality Access to Information Models, Theoretical Physicians Pharmacists Insurance, Health Attorneys Simulations Program Evaluation Billing and Claims Cost Benefit Analysis ab: Medical data are important in diagnosis, treatment, recovery, and medical accident investigation. The integrity and availability of medical data are the basic guarantee for the smooth operation of these activities. The privacy of medical data is a natural demand from the sensitivity of medical data. At present, there are mainly two ways to protect the privacy of medical data. One way is to store medical data in a local database and set up an access control strategy of the database. The other way is to encrypt medical data with the patient's key and to share the key when needed. The problem with the first method is that the data in the local database may be modified or deleted. The problem with the second method is that the key cannot be shared when the patient dies during the diagnosis and treatment. These two problems will damage the availability of data. This paper proposes to establish a shared key that could be reconstructed by the legitimate parties before the process of diagnosis and treatment begins. The data in the diagnosis and treatment process is encrypted and stored in a blockchain using the shared key. The proposal meets the integrity, availability and privacy requirements of medical data. It uses the sibling intractable function families (SIFF) to establish a shared key, and uses the Hyperledger Fabric to store encrypted data. The simulation shows that the system has good efficiency. Additionally, it is the first time to introduce SIFF to a blockchain application. pubtype: Academic Journal doctype: equations & formulas tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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