Query Processing in Private Data Outsourcing Using Anonymization
Résumé
We present a query processing scheme in a private data outsourcing model. We assume data is divided into identifying and sensitive data using an anatomy approach[20]; only the client is able to reconstruct the original identifiable data. The key contribution of this paper is a relational query processor that minimizes the client-side computation while ensuring the server learns nothing violating the privacy constraints.
Domaines
Informatique [cs]Origine | Fichiers produits par l'(les) auteur(s) |
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