Proceedings of the 1st ACM SIGSPATIAL International Workshop on Privacy in Geographic Information Collection and Analysis 2014
DOI: 10.1145/2675682.2676394
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Quantity based aggregation for cadastral databases

Abstract: Quantity Based Aggregation (QBA) is a subject that is closely related to inference in databases. The goal is to enforce k out of N disclosure control. In this paper we work on QBA problems in the context of cadastral databases, and we focus on one particular problem: how to prevent a user from accessing all parcels in a region. This work is a new version of the model presented in [2,3] where we introduce the concept of "Dominant Zones". This concept increases the availability of the data while preserving their… Show more

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Cited by 2 publications
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References 29 publications
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