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Combinatorial Algorithms and Methods for Security of Statistical Databases Related to the Work of Mirka Miller

  • Andrei KelarevEmail author
  • Jennifer Seberry
  • Leanne Rylands
  • Xun Yi
Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10765)

Abstract

This article gives a survey of combinatorial algorithms and methods for database security related to the work of Mirka Miller. The main contributions of Mirka Miller and coauthors to the security of statistical databases include the introduction of Static Audit Expert and theorems determining time complexity of its combinatorial algorithms, a polynomial time algorithm for deciding whether the maximum possible usability can be achieved in statistical database with a special class of answerable statistics, NP-completeness of similar problems concerning several other types of databases, sharp upper bounds on the number of compromise-free queries in certain categories of statistical databases, and analogous results on applications of Static Audit Expert for the prevention of relative compromise.

Keywords

Combinatorial algorithms NP-completeness Privacy in data mining Database security Time complexity Sharp upper bounds 
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Notes

Acknowledgements

The authors are grateful to three reviewers for comments and corrections that have helped to improve this paper. This work has been supported by Discovery grant DP160100913 from Australian Research Council.

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© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of ScienceRMIT UniversityMelbourneAustralia
  2. 2.School of Computing and Information TechnologyUniversity of WollongongWollongongAustralia
  3. 3.School of Computing, Engineering and MathematicsWestern Sydney UniversityPenrithAustralia

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