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Computing Join Aggregates over Private Tables

Identifieur interne : 000E80 ( Main/Exploration ); précédent : 000E79; suivant : 000E81

Computing Join Aggregates over Private Tables

Auteurs : Rong She [Canada] ; Ke Wang [Canada] ; Waichee Fu [Hong Kong] ; Yabo Xu [Canada]

Source :

RBID : ISTEX:11B4EB040971B7CC3CF78E396E5F8E78BE86A5F8

Abstract

Abstract: 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.

Url:
DOI: 10.1007/978-3-540-74553-2_8


Affiliations:


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