Efficient detection of unauthorized data modification in cloud databases

Cloud services represent an unprecedented opportunity, but their adoption is hindered by confidentiality and integrity issues related to the risks of outsourcing private data to cloud providers. This paper focuses on integrity and proposes an innovative solution that allows cloud tenants to detect u...

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Main Authors: Ferretti, Luca, Pierazzi, Fabio, Colajanni, Michele, Marchetti, Mirco, Missiroli, Marcello
Format: Conference Proceeding
Language:English
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Cloud computing
Encryption
Equations
Proposals
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creator Ferretti, Luca
Pierazzi, Fabio
Colajanni, Michele
Marchetti, Mirco
Missiroli, Marcello
description Cloud services represent an unprecedented opportunity, but their adoption is hindered by confidentiality and integrity issues related to the risks of outsourcing private data to cloud providers. This paper focuses on integrity and proposes an innovative solution that allows cloud tenants to detect unauthorized modifications to outsourced data while minimizing storage and network overheads. Our approach is based on encrypted Bloom filters, and is designed to allow efficient integrity verification for databases stored in the cloud. We assess the effectiveness of the proposal as well as its performance improvements with respect to existing solutions by evaluating storage and network costs.
doi_str_mv 10.1109/ISCC.2014.6912574
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subjects Cloud computing
Encryption
Equations
Proposals
title Efficient detection of unauthorized data modification in cloud databases
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