Privacy-preserving design for emergency response scheduling system in medical social networks

被引:8
作者
Yu, Wenbin [1 ]
Liu, Zhe [1 ]
Chen, Cailian [1 ]
Yang, Bo [1 ]
Guan, Xinping [1 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Automat, Shanghai, Peoples R China
关键词
Privacy-preserving; Multi-Dimensional Range Queries; Bilinear Pairing; Homomorphic encryption; HEALTH DATA;
D O I
10.1007/s12083-016-0429-4
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Mobile health monitoring, which has been expected as an effective way to improve medical service quality, can monitor the medical users' real-time physiology parameters and the Emergency Response Support System (ERSS) is built up to deal with emergencies. Unfortunately, the information privacy of both the medical users and the healthcare service providers is at risk when their private information is uploaded to the health center. Especially, when emergencies happen, the privacy must be protected and the responding time of the system should not be compromised. In order to protect the privacy and also maintain high efficiency when an emergency occurs, this paper proposes a privacy-preserving based scheduling scheme for emergency response (PPSSER) system. The system can protect physiological data privacy, location privacy and personal attribute privacy. Also it can defend collusion attack. The simulation demonstrates the effectiveness and feasibility of the proposed scheme.
引用
收藏
页码:340 / 356
页数:17
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