Performance tradeoffs for client-server query processing
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
The state of the art in distributed query processing
ACM Computing Surveys (CSUR)
Protecting Respondents' Identities in Microdata Release
IEEE Transactions on Knowledge and Data Engineering
FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
Replication is not needed: single database, computationally-private information retrieval
FOCS '97 Proceedings of the 38th Annual Symposium on Foundations of Computer Science
Separation of duties for access control enforcement in workflow environments
IBM Systems Journal - End-to-end security
A logic-based framework for attribute based access control
Proceedings of the 2004 ACM workshop on Formal methods in security engineering
Fundamentals of Database Systems (5th Edition)
Fundamentals of Database Systems (5th Edition)
L-diversity: Privacy beyond k-anonymity
ACM Transactions on Knowledge Discovery from Data (TKDD)
Foundations of preferences in database systems
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Preference SQL: design, implementation, experiences
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
High-Speed Private Information Retrieval Computation on GPU
SECURWARE '08 Proceedings of the 2008 Second International Conference on Emerging Security Information, Systems and Technologies
Investigating privacy-aware distributed query evaluation
Proceedings of the 9th annual ACM workshop on Privacy in the electronic society
Privacy-preserving queries over relational databases
PETS'10 Proceedings of the 10th international conference on Privacy enhancing technologies
Calibrating noise to sensitivity in private data analysis
TCC'06 Proceedings of the Third conference on Theory of Cryptography
Enabling intensional access control via preference-aware query optimization
Proceedings of the 18th ACM symposium on Access control models and technologies
PAQO: a preference-aware query optimizer for PostgreSQL
Proceedings of the VLDB Endowment
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In a centralized setting, the declarative nature of SQL is a major strength: a user can simply describe what she wants to retrieve, and need not worry about how the resulting query plan is actually generated and executed. However, in a decentralized setting, two query plans that produce the same result might actually reveal vastly different information about the intensional description of a user's query to the servers participating its evaluation. In cases where a user considers portions of her query to be sensitive, this is clearly problematic. In this paper, we address the specification and enforcement of querier privacy constraints on the execution of distributed database queries. We formalize a notion of intensional query privacy called (I,A)-privacy, and extend the syntax of SQL to allow users to enforce strict (I,A)-privacy constraints or partially ordered privacy/performance preferences over the execution of their queries.