A Privacy Enhanced Search Approach for Cloud-Based Medical Data Sharing

被引:0
作者
Liu, Lu [1 ]
Sun, Jingchao [1 ]
Li, Jianqiang [1 ]
Li, Rong [1 ]
Li, Juan [1 ]
Meng, Xi [2 ]
Li, Huifang [3 ]
Yang, Jijiang [4 ]
机构
[1] Beijing Univ Technol, Sch Software Engn, Beijing, Peoples R China
[2] Peoples Publ Secur Univ China, Dept Counter Terrorism, Beijing, Peoples R China
[3] Beijing Inst Technol, Sch Automat, Beijing, Peoples R China
[4] Tsinghua Univ, Res Inst Informat Technol, Beijing, Peoples R China
来源
2015 IEEE INTERNATIONAL CONFERENCE ON SMART CITY/SOCIALCOM/SUSTAINCOM (SMARTCITY) | 2015年
基金
北京市自然科学基金;
关键词
encrypted search; medical data; privacy protection; cloud computing;
D O I
10.1109/SmartCity.2015.205
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the development of healthcare industry, healthcare informatization provides great potential for the health-care improvement. The cloud computing platform, which is an important infrastructure for the inter( intra)-organization collaboration, provides a shared storage space to the medical data sharing. For the privacy protection of medical data, sensitive data has to be encrypted before being transmitted to the cloud, which makes it more challenging to use these data in the cloud. For strengthening the utilization of encrypted cloud data, various encrypted search technologies are widely studied. However, these existing searchable encryption schemes may not enforce users' demands well. This paper proposes a privacy enhanced search approach for cloud-based medical data sharing. The proposed solution implements a hybrid search approach, where the search process is conducted across plaintext and ciphertext. Moreover, the enhanced access control can ensure the privacy protection of cloud data. The empirical experiments illustrate the effectiveness of our solution.
引用
收藏
页码:1032 / 1037
页数:6
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