Towards collaborative query planning in multi-party database networks

Mingyi Zhao, Peng Liu, Jorge Lobo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


Multi-party distributed database networks require secure and decentralized query planning services. In this work, we propose the collaborative query planning (CQP) service that enables multiple parties to jointly plan queries and controls sensitive information disclosure at the same time. We conduct several simulated experiments to evaluate the performance characteristics of our approach compared to other planning schemes, and also study the trade-off between information confidentiality and query plan efficiency. The evaluation shows that when sharing more than 30% of query planning information between coalition parties, the CQP service is able to generate reasonably efficient query plans. We also outline potential improvements of the CQP service at the end.

Original languageEnglish (US)
Title of host publicationData and Applications Security and Privacy XXIX - 29th Annual IFIP WG 11.3 Working Conference, DBSec 2015, Proceedings
EditorsPierangela Samarati
PublisherSpringer Verlag
Number of pages16
ISBN (Print)9783319208091
StatePublished - 2015
Event29th IFIP WG 11.3 Working Conference on Data and Applications Security, DBSec 2015 - Fairfax, United States
Duration: Jul 13 2015Jul 15 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other29th IFIP WG 11.3 Working Conference on Data and Applications Security, DBSec 2015
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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