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Query Processing in Private Data Outsourcing Using Anonymization

Abstract : 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.
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https://hal.inria.fr/hal-01586588
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Ahmet Nergiz, Chris Clifton. Query Processing in Private Data Outsourcing Using Anonymization. 23th Data and Applications Security (DBSec), Jul 2011, Richmond, VA, United States. pp.138-153, ⟨10.1007/978-3-642-22348-8_12⟩. ⟨hal-01586588⟩

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