• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学 ›› 2022, Vol. 44 ›› Issue (09): 1594-1601.

• 计算机网络与信息安全 • 上一篇    下一篇

智慧医疗环境下支持属性更新的加解密外包方案

马佳佳1,曹素珍1,窦凤鸽1,丁晓晖1,丁宾宾1,王彩芬1,2    

  1. (1.西北师范大学计算机科学与工程学院,甘肃 兰州 730070;2.深圳技术大学大数据与互联网学院,广东 深圳 518118) 

  • 收稿日期:2021-07-01 修回日期:2021-11-10 接受日期:2022-09-25 出版日期:2022-09-25 发布日期:2022-09-25
  • 基金资助:
    国家自然科学基金(61662069,61662071) 

An encryption and decryption outsourcing solution supporting attribute updates in a smart medical environment

MA Jia-jia1,CAO Su-zhen1,DOU Feng-ge1,DING Xiao-hui1,DING Bin-bin1,WANG Cai-fen1,2   

  1. (1.College of Computer Science and Engineering,Northwest Normal University,Lanzhou 730070;
    2.College of Big Data and Internet,Shenzhen University of Technology,Shenzhen 518118,China)
  • Received:2021-07-01 Revised:2021-11-10 Accepted:2022-09-25 Online:2022-09-25 Published:2022-09-25

摘要: 为了共享患者数据,更便捷地查询患者情况,电子病历成为目前医疗系统中不可或缺的数据资料。为解决医患之间细粒度的访问控制和患者隐私保护问题,提出了智慧医疗环境下的支持属性更新的加解密外包方案。该方案通过将加解密运算外包给雾节点,有效地降低了数据拥有者和数据用户的计算负担,同时提高了效率。另外,该方案支持更新患者病历,更符合实际应用情况。同时,在密文更新时,授权机构将属性相关的哈希值传输给医疗云服务器,有效地保护了用户的隐私。最后,基于DBDH困难问题证明该方案是安全的,同时实验数据分析表明,该方案在计算效率上也具有一定优势。

关键词: 智慧医疗, 多授权机构, 属性更新, 雾计算, 外包计算

Abstract: In order to realize the sharing of patient data and to query patient medical records more conveniently, electronic medical records have become indispensable data in the medical system. In order to solve the problem of fine-grained access control between doctors and patients and patient privacy protection, an encryption and decryption outsourcing solution supporting attribute update in a smart medical environment is proposed. By outsourcing encryption and decryption operations to fog nodes, the solution effectively reduces the computational burden of data owners and data users and improves efficiency. In addition, the program supports the updating of patients’ medical records, which is more in line with actual application conditions. At the same time, when the ciphertext is updated, the authorized institution transmits the hash value related to the attribute to the medical cloud server, which effectively protects the user privacy. Finally, the solution is proved to be safe based on the difficult problem of DBDH, and the analysis of experimental data shows that the solution has certain advantages in computational efficiency. 

Key words: smart medical, multi-authority, property update, fog computing, outsourced computing