2018 IEEE 34th International Conference on Data Engineering (ICDE) (2018)
Apr 16, 2018 to Apr 19, 2018
With recent advances in data-as-a-service (DaaS) and cloud computing, aggregate query services over set-valued data are becoming widely available for business intelligence that drives decision making. However, as the service provider is often a third-party delegate of the data owner, the integrity of the query results cannot be guaranteed and is thus imperative to be authenticated. Unfortunately, existing query authentication techniques either do not work for set-valued data or they lack data confidentiality. In this paper, we propose authenticated aggregate queries over set-valued data that not only ensure the integrity of query results but also preserve the confidentiality of source data.
authorisation, cloud computing, competitive intelligence, data integrity, data privacy, decision making, query processing, set theory
C. Xu, Q. Chen, H. Hu, J. Xu and X. Hei, "Authenticating Aggregate Queries over Set-Valued Data with Confidentiality (Extended Abstract)," 2018 IEEE 34th International Conference on Data Engineering (ICDE), Paris, France, 2018, pp. 1797-1798.