Balancing accuracy and privacy of OLAP aggregations on data cubes

Authors:
Alfredo Cuzzocrea;Domenico Saccà
Affiliations:
ICAR-CNR and University of Calabria, Cosenza, Italy;University of Calabria, Cosenza, Italy
Venue:
DOLAP '10 Proceedings of the ACM 13th international workshop on Data warehousing and OLAP
Year:
2010

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Abstract

In this paper we propose an innovative framework based on flexible sampling-based data cube compression techniques for computing privacy preserving OLAP aggregations on data cubes while allowing approximate answers to be efficiently evaluated over such aggregations. In our proposal, this scenario is accomplished by means of the so-called accuracy/privacy contract, which determines how OLAP aggregations must be accessed throughout balancing accuracy of approximate answers and privacy of sensitive ranges of multidimensional data.