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Split leverage: attacking the confidentiality of linked databases by partitioning

journal contribution
posted on 2024-10-30, 14:03 authored by Tapan Rai, Joanne Hall
This article considers the risk of disclosure in linked databases when statistical analysis of micro-data is permitted. The risk of disclosure needs to be balanced against the utility of the linked data. The current work specifically considers the disclosure risks in permitting regression analysis to be performed on linked data. A new attack based on partitioning of the database is presented.

History

Related Materials

  1. 1.
    DOI - Is published in 10.21914/anziamj.v55i0.8920
  2. 2.
    ISSN - Is published in 14468735

Journal

ANZIAM

Volume

55

Start page

39

End page

59

Total pages

21

Publisher

Cambridge University Press

Place published

United Kingdom

Language

English

Copyright

© 2014 Australian Mathematical Society

Former Identifier

2006081413

Esploro creation date

2020-06-22

Fedora creation date

2018-01-23

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