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dc.contributor.authorBrown, Adrian Paul
dc.contributor.supervisorChristopher Reiden_US
dc.contributor.supervisorAnna Ferranteen_US
dc.contributor.supervisorJames Boyden_US

Increased demand for record linkage of administrative data, coupled with privacy risks, presents considerable challenges for many organisations. The primary objective of this research was to develop an operational cloud model for privacy-preserving record linkage utilising scalable computing infrastructure. The thesis presents and evaluates a cloud model for record linkage that links records without sharing personally identifying information, incorporating new techniques for improving accuracy, privacy and performance.

dc.publisherCurtin Universityen_US
dc.titleImplementing Privacy-Preserving Record Linkage in a Cloud Computing Environmenten_US
curtin.departmentCurtin School of Population Healthen_US
curtin.accessStatusOpen accessen_US
curtin.facultyHealth Sciencesen_US
curtin.contributor.orcidBrown, Adrian Paul [0000-0002-7514-8646]en_US

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