On the use of economic price theory to find the optimum levels of privacy and information utility in non-perturbative microdata anonymisation

作者:

Highlights:

摘要

Ideally, when microdata is anonymised, we should maximize both the level of privacy and the level information utility of a released microdata set. However, since privacy and information utility are conflicting requirements, it is difficult to find a good balance between the two goals. The objective and constraints of this optimization problem can be captured naturally with concepts from economic price theory. In this paper, we present an approach based on economic price theory for guiding the process of microdata anonymisation such that optimum levels of privacy and information utility are achieved.

论文关键词:Privacy in statistical databases,Data quality,Privacy,Information utility,Economic price theory

论文评审过程:Received 18 November 2008, Revised 12 October 2009, Accepted 15 October 2009, Available online 31 October 2009.

论文官网地址:https://doi.org/10.1016/j.datak.2009.10.012