Implementing Privacy-Preserving Record Linkage in a Cloud Computing Environment
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 infrast...
| Main Author: | |
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| Format: | Thesis |
| Published: |
Curtin University
2021
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| Online Access: | http://hdl.handle.net/20.500.11937/86133 |
| _version_ | 1848764788864188416 |
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| author | Brown, Adrian Paul |
| author_facet | Brown, Adrian Paul |
| author_sort | Brown, Adrian Paul |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T11:24:56Z |
| format | Thesis |
| id | curtin-20.500.11937-86133 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:24:56Z |
| publishDate | 2021 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-861332021-10-26T01:33:29Z Implementing Privacy-Preserving Record Linkage in a Cloud Computing Environment Brown, Adrian Paul 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. 2021 Thesis http://hdl.handle.net/20.500.11937/86133 Curtin University fulltext |
| spellingShingle | Brown, Adrian Paul Implementing Privacy-Preserving Record Linkage in a Cloud Computing Environment |
| title | Implementing Privacy-Preserving Record Linkage in a Cloud
Computing Environment |
| title_full | Implementing Privacy-Preserving Record Linkage in a Cloud
Computing Environment |
| title_fullStr | Implementing Privacy-Preserving Record Linkage in a Cloud
Computing Environment |
| title_full_unstemmed | Implementing Privacy-Preserving Record Linkage in a Cloud
Computing Environment |
| title_short | Implementing Privacy-Preserving Record Linkage in a Cloud
Computing Environment |
| title_sort | implementing privacy-preserving record linkage in a cloud
computing environment |
| url | http://hdl.handle.net/20.500.11937/86133 |