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Enabling Privacy Preserving Record Linkage Systems Using Asymmetric Key Cryptography.

Authors: Xiao Dong; David Randolph; Subhash Kumar Kolar Rajanna;

Enabling Privacy Preserving Record Linkage Systems Using Asymmetric Key Cryptography.

Abstract

We present a systemic approach to devise and deploy Privacy Preserving Record Linkage (PPRL) systems using asymmetric key cryptography and illustrate the strengths of such an approach. With our approach, the security implications of sharing a common secret salt across the network may be avoided, allowing the local participating sites to use private keys along with the current cryptographic hashes to maximally secure their own data. In addition, the final cyphertext tokens are compatible with those used by existing record linkage modules, allowing seamless integration with the existing PPRL infrastructures for downstream analysis. Finally, study-specific hash production requires action only by the central party. The main intuition for this work is derived from how asymmetric key approaches have enabled internet-scale applications. We demonstrate that such a design, where the local sites no longer need special-purpose software, affords greater flexibility and scalability for large scale multi-site linkage studies.

Related Organizations
Keywords

Medical Records Systems, Computerized, Privacy, Humans, Medical Record Linkage, Algorithms, Computer Security, Confidentiality, Software

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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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