Secure Statistical Analysis of Distributed Databases, Emphasizing What We Don't Know

Over the past several years, the National Institute of Statistical Sciences (NISS) has developed methodology to perform statistical analyses that, in effect, integrate data in multiple, distributed databases, but without literally bringing the data together in one place. In this paper, we summarize...

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Bibliographic Details
Published in:The Journal of Privacy and Confidentiality
Main Author: Alan F. Karr
Format: Article
Language:English
Published: Labor Dynamics Institute 2010-04-01
Subjects:
Data confidentiality
distributed databases
secure multi-party computation
Online Access:https://journalprivacyconfidentiality.org/index.php/jpc/article/view/573
Description
Summary:Over the past several years, the National Institute of Statistical Sciences (NISS) has developed methodology to perform statistical analyses that, in effect, integrate data in multiple, distributed databases, but without literally bringing the data together in one place. In this paper, we summarize that research, but focus on issues that are not understood. These include inability to perform exploratory analyses and visualizations, protections against dishonest participants, inequities between database owners and lack of measures of risk and utility.
ISSN:2575-8527

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