Implementing Privacy-Preserving Record Linkage in a Cloud Computing Environment
dc.contributor.author | Brown, Adrian Paul | |
dc.contributor.supervisor | Christopher Reid | en_US |
dc.contributor.supervisor | Anna Ferrante | en_US |
dc.contributor.supervisor | James Boyd | en_US |
dc.date.accessioned | 2021-10-26T01:33:29Z | |
dc.date.available | 2021-10-26T01:33:29Z | |
dc.date.issued | 2021 | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/86133 | |
dc.description.abstract |
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. | en_US |
dc.publisher | Curtin University | en_US |
dc.title | Implementing Privacy-Preserving Record Linkage in a Cloud Computing Environment | en_US |
dc.type | Thesis | en_US |
dcterms.educationLevel | PhD | en_US |
curtin.department | Curtin School of Population Health | en_US |
curtin.accessStatus | Open access | en_US |
curtin.faculty | Health Sciences | en_US |
curtin.contributor.orcid | Brown, Adrian Paul [0000-0002-7514-8646] | en_US |