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Confidentiality-Preserving Query Execution of Fragmented Outsourced Data

Abstract : Fidentiality of outsourced data continues to be an area of active research in the field of privacy protection. Almost all existing privacy-preserving approaches to address this problem rely on heavyweight cryptographic techniques with a large computational overhead that makes ineffiecient on large databases. In this paper, we address this problem by improving on an existing approach based on a combination of fragmentation and encryption. We present a method for optimizing and executing queries over distributed fragments stored in different Cloud storage service providers. We then extend this approach by presenting a Private Information Retrieval (PIR) based query technique to enforce data confidentiality under a collaborative Cloud storage service providers model.
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https://hal.archives-ouvertes.fr/hal-01213982
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Submitted on : Wednesday, March 1, 2017 - 11:55:00 AM
Last modification on : Tuesday, April 20, 2021 - 10:32:06 AM
Long-term archiving on: : Friday, June 2, 2017 - 12:43:00 PM

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Anis Bkakria, Frédéric Cuppens, Nora Cuppens-Bouhlahia, José M. Fernandez. Confidentiality-Preserving Query Execution of Fragmented Outsourced Data. 1st International Conference on Information and Communication Technology (ICT-EurAsia), Mar 2013, Yogyakarta, Indonesia. pp.426-440, ⟨10.1007/978-3-642-36818-9_47⟩. ⟨hal-01213982⟩

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