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  • Title: A Semantic-Based K-Anonymity Scheme for Health Record Linkage.
    Author: Lu Y, Sinnott RO, Verspoor K.
    Journal: Stud Health Technol Inform; 2017; 239():84-90. PubMed ID: 28756441.
    Abstract:
    Record linkage is a technique for integrating data from sources or providers where direct access to the data is not possible due to security and privacy considerations. This is a very common scenario for medical data, as patient privacy is a significant concern. To avoid privacy leakage, researchers have adopted k-anonymity to protect raw data from re-identification however they cannot avoid associated information loss, e.g. due to generalisation. Given that individual-level data is often not disclosed in the linkage cases, but yet remains potentially re-discoverable, we propose semantic-based linkage k-anonymity to de-identify record linkage with fewer generalisations and eliminate inference disclosure through semantic reasoning.
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