Secure medical information sharing in cloud computing

被引:0
|
作者
Shao, Zhiyi [1 ,2 ,3 ]
Yang, Bo [1 ,2 ,3 ]
Zhang, Wenzheng [2 ]
Zhao, Yi [1 ]
Wu, Zhenqiang [1 ]
Miao, Meixia [4 ]
机构
[1] Shaanxi Normal Univ, Sch Comp Sci, Xian 710119, Shaanxi, Peoples R China
[2] Sci & Technol Commun Secur Lab, Chengdu, Sichuan, Peoples R China
[3] State Key Lab Informat Secur, Beijing, Peoples R China
[4] Xidian Univ, State Key Lab Integrated Serv Networks, Xian, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Medical information sharing; searchable encryption; multiple receivers; ciphertext security; trapdoor security; PUBLIC-KEY ENCRYPTION; SEARCH;
D O I
10.3233/THC-150945
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Medical information sharing is one of the most attractive applications of cloud computing, where searchable encryption is a fascinating solution for securely and conveniently sharing medical data among different medical organizers. However, almost all previous works are designed in symmetric key encryption environment. The only works in public key encryption do not support keyword trapdoor security, have long ciphertext related to the number of receivers, do not support receiver revocation without re-encrypting, and do not preserve the membership of receivers. In this paper, we propose a searchable encryption supporting multiple receivers for medical information sharing based on bilinear maps in public key encryption environment. In the proposed protocol, data owner stores only one copy of his encrypted file and its corresponding encrypted keywords on cloud for multiple designated receivers. The keyword ciphertext is significantly shorter and its length is constant without relation to the number of designated receivers, i.e., for n receivers the ciphertext length is only twice the element length in the group. Only the owner knows that with whom his data is shared, and the access to his data is still under control after having been put on the cloud. We formally prove the security of keyword ciphertext based on the intractability of Bilinear Diffie-Hellman problem and the keyword trapdoor based on Decisional Diffie-Hellman problem.
引用
收藏
页码:S133 / S137
页数:5
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