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- W2519626547 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." @default.
- W2519626547 created "2016-09-23" @default.
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- W2519626547 date "2016-09-10" @default.
- W2519626547 modified "2023-09-25" @default.
- W2519626547 title "Privacy-Enhanced and Multifunctional Health Data Aggregation under Differential Privacy Guarantees" @default.
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- W2519626547 doi "https://doi.org/10.3390/s16091463" @default.
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