Privacy-Enhanced and Multifunctional Health Data Aggregation under Differential Privacy Guarantees.
With the rapid growth of the health data scale, the limited storage and computation resources of wireless body area sensor networks (WBANs) is becoming a barrier to their development. Therefore, outsourcing the encrypted health data to the cloud has been an appealing strategy. However, date aggregation will become difficult. Some recently-proposed schemes try to address this problem. However, there are still some functions and privacy issues that are not discussed. In this paper, we propose a privacy-enhanced and multifunctional health data aggregation scheme (PMHA-DP) under differential privacy. Specifically, we achieve a new aggregation function, weighted average (WAAS), and design a privacy-enhanced aggregation scheme (PAAS) to protect the aggregated data from cloud servers. Besides, a histogram aggregation scheme with high accuracy is proposed. PMHA-DP supports fault tolerance while preserving data privacy. The performance evaluation shows that the proposal leads to less communication overhead than the existing one.
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. jingsboy@126.com.
Hao
H
Ren
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. hongweili@uestc.edu.cn.|State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China. hongweili@uestc.edu.cn.
Hongwei
H
Li
Department of Computer Science, University of Massachusetts at Boston, MA 02125, USA. Xiaohui.Liang@umb.edu.
Xiaohui
X
Liang
State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China. s18he@iipc.zju.edu.cn.
Shibo
S
He
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. uestcdaiys@gmail.com.
Yuanshun
Y
Dai
Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada. lzhao@ee.ryerson.ca.
Lian
L
Zhao
D000465:Algorithms; D003195:Computer Communication Networks; D016494:Computer Security; D003625:Data Collection; D008490:Medical Informatics; D018907:Privacy
cloud-assisted WBANs; differential privacy; fault tolerance; health data; multifunctional aggregation; privacy-enhanced