m2-ABKS: Attribute-Based Multi-Keyword Search over Encrypted Personal Health Records in Multi-Owner Setting

被引:55
|
作者
Miao, Yinbin [1 ]
Ma, Jianfeng [2 ,3 ]
Liu, Ximeng [4 ]
Wei, Fushan [1 ]
Liu, Zhiquan [2 ,3 ]
Wang, Xu An [1 ]
机构
[1] Xidian Univ, Sch Telecommun Engn, Xian, Peoples R China
[2] Xidian Univ, Sch Comp Sci & Technol, Xian, Peoples R China
[3] Xidian Univ, Sch Cyber Engn, Xian, Peoples R China
[4] Singapore Management Univ, Sch Informat Syst, 80 Stamford Rd, Singapore, Singapore
关键词
Personal health record; Attribute-based encryption; Multi-keyword; Multi-owner; Chosen-keyword attack; RANKED SEARCH; CLOUD DATA;
D O I
10.1007/s10916-016-0617-z
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
Online personal health record (PHR) is more inclined to shift data storage and search operations to cloud server so as to enjoy the elastic resources and lessen computational burden in cloud storage. As multiple patients' data is always stored in the cloud server simultaneously, it is a challenge to guarantee the confidentiality of PHR data and allow data users to search encrypted data in an efficient and privacy-preserving way. To this end, we design a secure cryptographic primitive called as attributebased multi-keyword search over encrypted personal health records in multi-owner setting to support both fine-grained access control and multi-keyword search via CiphertextPolicy Attribute-Based Encryption. Formal security analysis proves our scheme is selectively secure against chosenkeyword attack. As a further contribution, we conduct empirical experiments over real-world dataset to show its feasibility and practicality in a broad range of actual scenarios without incurring additional computational burden.
引用
收藏
页数:12
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