Lu Yang, Sinnott Richard O, Verspoor Karin
Department of Computing and Information System, The University of Melbourne, Melbourne, Australia.
Stud Health Technol Inform. 2017;239:84-90.
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.
记录链接是一种用于整合来自数据源或提供者的数据的技术，由于安全和隐私考虑，无法直接访问这些数据。对于医疗数据来说，这是一种非常常见的情况，因为患者隐私是一个重大问题。为了避免隐私泄露，研究人员采用了k匿名来保护原始数据不被重新识别，然而他们无法避免相关的信息损失，例如由于泛化导致的信息损失。鉴于在链接案例中通常不会披露个人层面的数据，但这些数据仍有可能被重新发现，我们提出基于语义的链接k匿名，以通过更少的泛化来对记录链接进行去识别，并通过语义推理消除推理披露。
