Practical data-swapping: the first steps
ACM Transactions on Database Systems (TODS)
Security-control methods for statistical databases: a comparative study
ACM Computing Surveys (CSUR)
A modified random perturbation method for database security
ACM Transactions on Database Systems (TODS)
Security of random data perturbation methods
ACM Transactions on Database Systems (TODS)
ACM Computing Surveys (CSUR)
Protecting Respondents' Identities in Microdata Release
IEEE Transactions on Knowledge and Data Engineering
Practical Data-Oriented Microaggregation for Statistical Disclosure Control
IEEE Transactions on Knowledge and Data Engineering
Privacy preserving mining of association rules
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Disclosure risk measures for the sampling disclosure control method
Proceedings of the 2004 ACM symposium on Applied computing
Disclosure risk measures for microdata
SSDBM '03 Proceedings of the 15th International Conference on Scientific and Statistical Database Management
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
A method for evaluating marketer re-identification risk
Proceedings of the 2010 EDBT/ICDT Workshops
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In this paper, we introduce a general framework for microdata and three disclosure risk measures (minimal, maximal and weighted). We classify the attributes from a given microdata in two different ways: based on their potential identification utility and based on the order relation that exists in their domain of value. We define inversion and change factors that allow data users to quantify the magnitude of masking modification incurred for values of a key attribute. The disclosure risk measures are based on these inversion and change factors, and can be computed for any specific disclosure control method, or any combination of methods applied in succession to a given microdata. Using simulated medical data in our experiments, we show that the proposed disclosure risk measures perform as expected in real-life situations.