Secure analysis of distributed chemical databases without data integration.

Alan F Karr; Jun Feng; Xiaodong Lin; Ashish P Sanil; S Stanley Young; Jerome P Reiter

doi:10.1007/s10822-005-9011-5

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Secure analysis of distributed chemical databases without data integration.

Alan F Karr·Jun Feng·Xiaodong Lin·Ashish P Sanil·S Stanley Young·Jerome P Reiter

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Abstract

We present a method for performing statistically valid linear regressions on the union of distributed chemical databases that preserves confidentiality of those databases. The method employs secure multi-party computation to share local sufficient statistics necessary to compute least squares estimators of regression coefficients, error variances and other quantities of interest. We illustrate our method with an example containing four companies' rather different databases.

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Algorithms Computer Security Databases, Factual Least-Squares Analysis Linear Models Models, Chemical Organic Chemicals Regression Analysis Solubility Water Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

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Alan F Karr, Jun Feng, Xiaodong Lin, Ashish P Sanil, S Stanley Young, Jerome P Reiter. 2005-11-03. Secure analysis of distributed chemical databases without data integration.. https://doi.org/10.1007/s10822-005-9011-5

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