Volume 4 - Issue 2
Preserving Multi-relational Outsourced Databases Confidentiality using Fragmentation and Encryption
- Anis Bkakria
Telecom Bretagne Rennes, France
anis.bkakria@telecom-bretagne.eu
- Frederic Cuppens
Telecom Bretagne Rennes, France
frederic.cuppens@telecom-bretagne.eu
- Nora Cuppens-Boulahia
Telecom Bretagne Rennes, France
nora.cuppens@telecom-bretagne.eu
- Jose M. Fernandez
Ecole Polytechnique de Montreal, Canada
jose.fernandez@polymtl.ca
- David Gross-Amblard
Universite de Rennes 1 - IRISA, France
david.gross-amblard@irisa.fr
Keywords: Data confidentiality, Privacy-preserving, Data fragmentation, Data outsourcing
Abstract
Confidentiality and privacy of outsourced data has become one of the pressing challenges in Cloud
computing. Outsourced data often includes sensitive personally identifiable information. When data
is outsourced, sensitive information will not be under the control of its owners, but under the control
of an external service provider. In this paper, we define an approach allowing the protection of confidentiality
of sensitive information in outsourced multi-relational databases by improving an existing
approach based on a combination of fragmentation and encryption. Then we define a secure and
effective technique for querying data hosted on several service providers. Finally, we improve the
security of the querying technique in order to protect data confidentiality under a collaborative Cloud
storage service providers model.