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Sensors 2016, 16(9), 1463; doi:10.3390/s16091463

Privacy-Enhanced and Multifunctional Health Data Aggregation under Differential Privacy Guarantees

1
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
2
State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China
3
Department of Computer Science, University of Massachusetts at Boston, MA 02125, USA
4
State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China
5
Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada
*
Author to whom correspondence should be addressed.
Academic Editor: Rongxing Lu
Received: 25 April 2016 / Revised: 25 August 2016 / Accepted: 26 August 2016 / Published: 10 September 2016
(This article belongs to the Special Issue Security and Privacy in Sensor Networks)
View Full-Text   |   Download PDF [500 KB, uploaded 10 September 2016]   |  

Abstract

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. View Full-Text
Keywords: cloud-assisted WBANs; privacy-enhanced; multifunctional aggregation; health data; fault tolerance; differential privacy cloud-assisted WBANs; privacy-enhanced; multifunctional aggregation; health data; fault tolerance; differential privacy
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MDPI and ACS Style

Ren, H.; Li, H.; Liang, X.; He, S.; Dai, Y.; Zhao, L. Privacy-Enhanced and Multifunctional Health Data Aggregation under Differential Privacy Guarantees. Sensors 2016, 16, 1463.

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