Journal
SENSORS
Volume 16, Issue 9, Pages -Publisher
MDPI
DOI: 10.3390/s16091463
Keywords
cloud-assisted WBANs; privacy-enhanced; multifunctional aggregation; health data; fault tolerance; differential privacy
Funding
- National Natural Science Foundation of China [61472065, U1333127]
- International Science and Technology Cooperation and Exchange Program of Sichuan Province, China [2014HH0029]
- China Postdoctoral Science Foundation [2014M552336, 2015T80972]
- Fundamental Research Funds for Chinese Central Universities [ZYGX2015J056]
- State Key Laboratory of Information Security foundation Open Foundation [2015-MS-02]
- Open Research Project of the State Key Laboratory of Industrial Control Technology, Zhejiang University, China [ICT1600220]
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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.
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