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DAWAK
2007
Springer

Computing Join Aggregates over Private Tables

11 years 7 months ago
Computing Join Aggregates over Private Tables
We propose a privacy-preserving protocol for computing aggregation queries over the join of private tables. In this problem, several parties wish to share aggregated information over the join of their tables, but want to conceal the details that generate such information. The join operation presents a challenge to privacy preservation because it requires matching individual records from private tables. We solve this problem by a novel sketching protocol that securely computes some randomized summary information over private tables. It ensures that during the query computation process, no party will learn other parties’ private data, including the individual records and data distributions. Previous works have not provided this level of privacy for such queries.
Rong She, Ke Wang, Ada Wai-Chee Fu, Yabo Xu
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where DAWAK
Authors Rong She, Ke Wang, Ada Wai-Chee Fu, Yabo Xu
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