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

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• 作者：Wenbin Yu ; Zhe Liu ; Cailian Chen ; Bo Yang…
• 关键词：Privacy ; preserving ; Multi ; Dimensional Range Queries ; Bilinear Pairing ; Homomorphic encryption
• 刊名：Peer-to-Peer Networking and Applications
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：10
• 期：2
• 页码：340-356
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Communications Engineering, Networks; Information Systems and Communication Service; Computer Communication Networks; Signal,Image and Speech Processing;
• 出版者：Springer US
• ISSN：1936-6450
• 卷排序：10

文摘

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.