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
Exact and approximate methods for data directed microaggregation in one or more dimensions
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
On the security of microaggregation with individual ranking: analytical attacks
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Achieving k-anonymity privacy protection using generalization and suppression
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
A Polynomial Algorithm for Optimal Univariate Microaggregation
IEEE Transactions on Knowledge and Data Engineering
Cover story: they know where you are
IEEE Spectrum
Minimum Spanning Tree Partitioning Algorithm for Microaggregation
IEEE Transactions on Knowledge and Data Engineering
Ordinal, Continuous and Heterogeneous k-Anonymity Through Microaggregation
Data Mining and Knowledge Discovery
Towards Privacy-Aware Location-Based Database Servers
ICDEW '06 Proceedings of the 22nd International Conference on Data Engineering Workshops
Private location-based information retrieval through user collaboration
Computer Communications
Preserving privacy in participatory sensing systems
Computer Communications
Optimized query forgery for private information retrieval
IEEE Transactions on Information Theory
Software—Practice & Experience - Focus on Selected PhD Literature Reviews in the Practical Aspects of Software Technology
Location Privacy: Privacy, Efficiency and Recourse through a Prohibitive Contract
Transactions on Data Privacy
Information Sciences: an International Journal
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Data aggregation is a central principle underlying many applications in computer science, from artificial intelligence to data security and privacy. Microaggregation is a special clustering problem where the goal is to cluster a set of points into groups of at least k points in such a way that groups are as homogeneous as possible. A usual homogeneity criterion is the minimization of the within-groups sum of squares. Microaggregation appeared in connection with anonymization of statistical databases. When discussing microaggregation for information systems, points are database records. This paper extends the use of microaggregation for k-anonymity to implement the recent property of p-sensitive k-anonymity in a more unified and less disruptive way. Then location privacy is investigated: two enhanced protocols based on a trusted-third party (TTP) are proposed and thereafter microaggregation is used to design a new TTP-free protocol for location privacy.