Vertical partitioning algorithms for database design
ACM Transactions on Database Systems (TODS)
Executing SQL over encrypted data in the database-service-provider model
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Providing Database as a Service
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Fragmentation Design for Efficient Query Execution over Sensitive Distributed Databases
ICDCS '09 Proceedings of the 2009 29th IEEE International Conference on Distributed Computing Systems
Privacy-preserving queries over relational databases
PETS'10 Proceedings of the 10th international conference on Privacy enhancing technologies
Enforcing confidentiality and data visibility constraints: an OBDD approach
DBSec'11 Proceedings of the 25th annual IFIP WG 11.3 conference on Data and applications security and privacy
On the inference-proofness of database fragmentation satisfying confidentiality constraints
ISC'11 Proceedings of the 14th international conference on Information security
Fragmentation and encryption to enforce privacy in data storage
ESORICS'07 Proceedings of the 12th European conference on Research in Computer Security
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Ensuring confidentiality 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 inefficient 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.