Abstract
Enabling privacy preserving outsourced data aggregation is regarded as an important issue for multi-domain wireless networks. In this paper, we present a novel hybrid cloud based privacy preserving outsourced data aggregation framework. To achieve this, we introduce a hybrid storage cloud and aggregator cloud architecture, in which both of the storage clouds and aggregator cloud are assumed to be untrusted but they cannot collude with each other. Based on this security assumption, we propose two novel protocols, including the pro-active privacy preserving data aggregation and passive privacy preserving data aggregation schemes, which are based on the idea of secret sharing. The pro-active scheme allows the user to pro-actively split their data to multiple storage clouds to avoid data leaking while the passive scheme allows the users to store their encrypted data in storage cloud and aggregator to finish the data aggregation based on the encrypted data. The detailed performance simulations are given to demonstrate the security, effectiveness and efficiency of the proposed scheme.
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Xiao, C., Jia, W., Zhu, H., Du, S., Cao, Z. (2012). Leveraging Cloud Computing for Privacy Preserving Aggregation in Multi-domain Wireless Networks. In: Wang, X., Zheng, R., Jing, T., Xing, K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2012. Lecture Notes in Computer Science, vol 7405. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31869-6_65
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DOI: https://doi.org/10.1007/978-3-642-31869-6_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31868-9
Online ISBN: 978-3-642-31869-6
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