Implementing Privacy-Preserving Record Linkage in a Cloud Computing Environment
Access Status
Open access
Date
2021Supervisor
Christopher Reid
Anna Ferrante
James Boyd
Type
Thesis
Award
PhD
Metadata
Show full item recordFaculty
Health Sciences
School
Curtin School of Population Health
Collection
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.
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Brown, A.; Randall, Sean; Ferrante, A.; Semmens, J.; Boyd, J. (2017)Background: Probabilistic record linkage is a process used to bring together person-based records from within the same dataset (de-duplication) or from disparate datasets using pairwise comparisons and matching probabilities. ...
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Randall, Sean; Ferrante, Anna; Boyd, James; Brown, Adrian; Semmens, James (2016)Background: The statistical linkage key (SLK-581) is a common tool for record linkage in Australia, due to its ability to provide some privacy protection. However, newer privacy-preserving approaches may provide greater ...
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Boyd, James; Randall, Sean; Ferrante, Anna (2015)Record linkage is the process of bringing together data relating to the same individual within and between different datasets. These integrated datasets provide diverse and rich resources for researchers without the cost ...