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Don’t Reveal My Intension: Protecting User Privacy Using Declarative Preferences during Distributed Query Processing

  • Nicholas L. Farnan
  • Adam J. Lee
  • Panos K. Chrysanthis
  • Ting Yu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6879)

Abstract

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.

Keywords

Query Processing Relational Algebra Query Evaluation Query Plan User Privacy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Nicholas L. Farnan
    • 1
  • Adam J. Lee
    • 1
  • Panos K. Chrysanthis
    • 1
  • Ting Yu
    • 2
  1. 1.Department of Computer ScienceUniversity of PittsburghUSA
  2. 2.Department of Computer ScienceNorth Carolina State UniversityUSA

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