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Semantic-Based Policy Composition for Privacy-Demanding Data Linkage

Lu, Yang, Sinnott, Richard O., Verspoor, Karin (2018) Semantic-Based Policy Composition for Privacy-Demanding Data Linkage. In: 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications. 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). . pp. 348-359. IEEE ISBN 978-1-5386-4389-1. E-ISBN 978-1-5386-4388-4. (doi:10.1109/TrustCom/BigDataSE.2018.00060) (KAR id:80961)

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https://dx.doi.org/10.1109/TrustCom/BigDataSE.2018...

Abstract

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 other approaches with regards to effectiveness, reliability and subsequent data utility.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/TrustCom/BigDataSE.2018.00060
Subjects: Q Science
Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76 Computer software
R Medicine > R Medicine (General) > R858 Computer applications to medicine. Medical informatics. Medical information technology
T Technology
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK5101 Telecommunications > TK5105 Data transmission systems
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK5101 Telecommunications > TK5105 Data transmission systems > TK5105.5 Computer networks
Divisions: University wide Teaching/Research Centres > Kent Interdisciplinary Research Centre in Cyber Security
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Yang Lu
Date Deposited: 22 Apr 2020 16:08 UTC
Last Modified: 16 Feb 2021 14:12 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/80961 (The current URI for this page, for reference purposes)
Lu, Yang: https://orcid.org/0000-0002-0583-2688
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