Abstract
Outsourcing data to the cloud becomes a trend for the users to reduce database management and maintenance cost. However, storing data on the cloud brings many security problems. Data privacy and query authentication are two critical issues to be resolved. Specially, they are important to aggregate queries of cloud data. The data owner must keep the sensitive data hidden and only the aggregate result is revealed to the clients and cloud service provider. Furthermore, the client can ensure that the aggregate results are correct and complete. In this paper, we adopt multi-party computation to realize privacy-preserving aggregate computation in which at least t cloud servers can jointly calculate the aggregate results without gaining any knowledge of sensitive data. In addition, we introduce an authenticated structure, called PAAT, to provide query authentication for aggregate result. The experimental results show that our scheme is feasible and has good performance in practice.
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