1.宁夏大学信息工程学院,宁夏 银川 750021
2.宁夏大数据与人工智能省部共建协同创新中心,宁夏 银川 750000
3.北京航空航天大学网络空间安全学院,北京 100083
[ "陈嘉莉(1997- ),女,宁夏固原人,宁夏大学硕士生,主要研究方向为区块链技术应用、电子病历共享等。" ]
[ "马自强(1990- ),男,新疆乌鲁木齐人,博士,宁夏大学副教授、硕士生导师,主要研究方向为计算机系统安全、区块链应用安全。" ]
[ "苗莉(1986- ),女,江苏徐州人,博士,宁夏大学讲师,主要研究方向为网络空间安全、博弈理论和边缘计算等。" ]
[ "李冰雨(1990- ),男,河南安阳人,博士,北京航空航天大学副教授、硕士生导师,主要研究方向为密码应用、网络认证、分布式身份、信任管理。" ]
[ "岳晓琳(1998- ),女,山东聊城人,宁夏大学硕士生,主要研究方向为区块链技术应用。" ]
收稿日期:2024-10-10,
纸质出版日期:2024-10-25
移动端阅览
针对电子病历的存储安全与共享过程中涉及的病历所有权及访问控制问题,提出了一种基于Hyperledger Fabric的电子病历共享解决方案。在此方案中,电子病历通过智能合约实现的代理重加密技术,根据是否需要共享的条件,被加密并存储在星际文件系统(IPFS)中。病历的IPFS地址将被记录在区块链上,以确保其不可篡改性。在共享病历时,患者将制定严格的访问控制策略,借助基于属性的加密(CP-ABE)和Asmuth-Bloom秘密共享算法,确保电子病历仅能被经过授权的人员访问。同时,参与秘密分发的各方将协作恢复密钥,进而解密病历。所提方案在安全性方面进行了全面阐述,确保电子病历在存储与共享过程中能够抵御各类攻击,保证数据的完整性和隐私性。与其他秘密共享方案相比,所提方案在理论上的时间复杂度上表现出色,为电子病历的安全存储与多人共享提供了高效且可靠的解决方案。
In addressing the issues of medical record ownership and access control during the storage and sharing processes of electronic medical record (EMR)
an EMR sharing solution based on Hyperledger Fabric was put forward . In this solution
EMR was encrypted and stored in IPFS (inter planetary file system) using proxy re-encryption technology implemented through smart contracts
depending on the conditions for sharing. The IPFS addresses of the records were recorded on the blockchain to ensure their immutability. For sharing EMR
patients established strict access control policies. Through the use of CP-ABE (attribute-based encryption) and the Asmuth-Bloom secret sharing algorithm
the EMR was encrypted so that only authorized personnel can access them. Simultaneously
parties involved in secret sharing collaborate to recover keys and decrypt the records.The document comprehensively discusses the security aspects of this solution
ensuring that EMR can withstand various attacks during storage and sharing
thus guaranteeing data integrity and privacy. Compared to other secret sharing schemes
this solution demonstrates better theoretical time complexity
providing an efficient and reliable solution for secure storage and multi-party sharing of EMR.
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