Split Leverage: Attacking the Condentiality of Linked Databases by Partitioning

Publisher:
Australian Mathematical Society
Publication Type:
Journal Article
Citation:
ANZIAM, 2014
Issue Date:
2014-01
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This paper considers the risk of disclosure in linked databases when statistical analysis of micro-data is permitted. The risk of dis- closure needs to be balanced against the utility of the linked data. The current work specifically considers the disclosure risks in permit- ting regression analysis to be performed on linked data. A new attack based on partitioning of the database is presented.
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