摘要
[目的/意义]在医疗信息化迅速发展过程中,医疗大数据信息安全保护存在数据丢失、难以共享等问题。为了更好地对健康医疗大数据进行保护,本文构建面向健康医疗大数据安全保护的医疗区块链模型,解决健康医疗大数据集中存储、不可追溯、易受攻击等问题,为进一步推动区块链技术在健康医疗领域的应用提供方案。[方法/过程]构建基于区块链技术的健康医疗大数据信息安全保护模型和系统架构,通过PBFT共识算法保证医疗区块链数据的不可篡改,通过非对称加密技术保证个人医疗信息的安全性,通过激励机制鼓励各节点加入医疗区块链。[结果/结论]相对于传统的医疗信息保护方法而言,面向健康医疗大数据安全保护的医疗区块链模型具有数据可追溯、防篡改和信息平等共享、安全可信等优势,可以更好地推动健康医疗数据化的发展。
[Purpose/significance]In the rapid development of medical informatization,traditional medical information security protection has problems such as data loss and difficulty in sharing.In order to protect health and medical big data better,this paper proposes the construction of a medical blockchain model for the security protection of healthcare big data to solve the problems of centralized storage,untraceability,and vulnerability,and provides solutions for further promoting the application of blockchain technology in the field of health care.[Method/process]This paper built a health care big data information security protection model and system architecture based on block-chain technology,ensured that the medical blockchain data can not be tampered through the PBFT consensus algorithm,and ensured the safety of personal medical information through asymmetric encryption technology,then encouraged all nodes to join the medical blockchain through an incentive mechanism.[Result/conclusion]Compared with the previous medical information protection methods,the health care big data information security protection model based on blockchain technology has the advantages of data traceability,tamper resistance,equal sharing of information,security and credibility,etc.It can promote the development of health care digitalization better.
作者
李洪晨
马捷
胡漠
Li Hongchen;Ma Jie;Hu Mo(School of Management,Jilin University,Changchun 130022;Resources Research Center,Jilin University,Changchun 130022)
出处
《图书情报工作》
CSSCI
北大核心
2021年第2期37-44,共8页
Library and Information Service
关键词
健康医疗大数据
区块链去中心化
信息安全保护
PBFT算法
health and medical big data
blockchain decentralization
information security protection
PBFT algorithm
