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. 2013 Mar 18:2013:262-6.
eCollection 2013.

Identifying inference attacks against healthcare data repositories

Jaideep Vaidya  1 , Basit Shafiq, Xiaoqian Jiang, Lucila Ohno-Machado
Affiliations

Identifying inference attacks against healthcare data repositories

Jaideep Vaidya et al. AMIA Jt Summits Transl Sci Proc. .

Abstract

Health care data repositories play an important role in driving progress in medical research. Finding new pathways to discovery requires having adequate data and relevant analysis. However, it is critical to ensure the privacy and security of the stored data. In this paper, we identify a dangerous inference attack against naive suppression based approaches that are used to protect sensitive information. We base our attack on the querying system provided by the Healthcare Cost and Utilization Project, though it applies in general to any medical database providing a query capability. We also discuss potential solutions to this problem.

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Figures

Figure 1:
Figure 1:
HCUPnet released data
Figure 2:
Figure 2:
HCUPnet inferred data
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