Conference Proceedings

Semantic-Based Policy Composition for Privacy-Demanding Data Linkage

Y Lu, RO Sinnott, K Verspoor

2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE) | IEEE Explore | Published : 2018

Abstract

© 2018 IEEE. Record linkage can be used to support current and future health research across populations however such approaches give rise to many challenges related to patient privacy and confidentiality including inference attacks. To address this, we present a semantic-based policy framework where linkage privacy detects attribute associations that can lead to inference disclosure issues. To illustrate the effectiveness of the approach, we present a case study exploring health data combining spatial, ethnicity and language information from several major on-going projects occurring across Australia. Compared with classic access control models, the results show that our proposal outperforms..

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Grants

Funding Acknowledgements

The research reported in this paper is supported by the ADDN project funded by the Juvenile Diabetes Research Foundation and the VicHealth project funded by the Department of Health and Human Services, Victoria. We gratefully acknowledge their support.