Enforcement of Autonomous Authorizations in Collaborative Distributed Query Evaluation

Qiang Zeng, Mingyi Zhao, Peng Liu, Poonam Yadav, Seraphin Calo, Jorge Lobo

Research output: Contribution to journalArticle

7 Scopus citations

Abstract

In a federated database system, each independent party exports some of its data for information sharing. The information sharing in such a system is very inflexible, as all peer parties access the same set of data exported by a party, while the party may want to authorize different peer parties to access different portions of its information. We propose a novel query evaluation scheme that supports differentiated access control with decentralized query processing. A new efficient join method, named split-join, along with other safe join methods is adopted in the query planning algorithm. The generated query execution reduces the communication cost by pushing partial query computation to data sources in a safe way. The proofs of the correctness and safety of the algorithm are presented. The evaluation demonstrates that the scheme significantly saves the communication cost in a variety of circumstances and settings while enforcing autonomous and differentiated information sharing effectively.

Original languageEnglish (US)
Article number6895252
Pages (from-to)979-992
Number of pages14
JournalIEEE Transactions on Knowledge and Data Engineering
Volume27
Issue number4
DOIs
StatePublished - Apr 1 2015

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Computational Theory and Mathematics

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