Executing SQL over encrypted data in the database-service-provider model
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Protecting Respondents' Identities in Microdata Release
IEEE Transactions on Knowledge and Data Engineering
Keying Hash Functions for Message Authentication
CRYPTO '96 Proceedings of the 16th Annual International Cryptology Conference on Advances in Cryptology
k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Probabilistic encryption & how to play mental poker keeping secret all partial information
STOC '82 Proceedings of the fourteenth annual ACM symposium on Theory of computing
Balancing confidentiality and efficiency in untrusted relational DBMSs
Proceedings of the 10th ACM conference on Computer and communications security
Anatomy: simple and effective privacy preservation
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
L-diversity: Privacy beyond k-anonymity
ACM Transactions on Knowledge Discovery from Data (TKDD)
A privacy-preserving index for range queries
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
IEEE Transactions on Knowledge and Data Engineering
Keep a few: outsourcing data while maintaining confidentiality
ESORICS'09 Proceedings of the 14th European conference on Research in computer security
Multiple sensitive association protection in the outsourced database
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part II
Security limitations of using secret sharing for data outsourcing
DBSec'12 Proceedings of the 26th Annual IFIP WG 11.3 conference on Data and Applications Security and Privacy
Updating outsourced anatomized private databases
Proceedings of the 16th International Conference on Extending Database Technology
Using safety constraint for transactional dataset anonymization
DBSec'13 Proceedings of the 27th international conference on Data and Applications Security and Privacy XXVII
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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; 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.