Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ins.2005.03.010
Title: A cubic-wise balance approach for privacy preservation in data cubes
Authors: Liu, Y.
Sung, S.Y. 
Xiong, H.
Keywords: Data perturbation
Data warehouse
OLAP
Privacy preservation
Range query
Issue Date: 2006
Source: Liu, Y., Sung, S.Y., Xiong, H. (2006). A cubic-wise balance approach for privacy preservation in data cubes. Information Sciences 176 (9) : 1215-1240. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ins.2005.03.010
Abstract: A data warehouse stores current and historical records consolidated from multiple transactional systems. Securing data warehouses is of ever-increasing interest, especially considering areas where data are sold in pieces to third parties for data mining practices. In this case, existing data warehouse security techniques, such as data access control, may not be easy to enforce and can be ineffective. Instead, this paper proposes a data perturbation based approach, called the cubic-wise balance method, to provide privacy preserving range queries on data cubes in a data warehouse. This approach is motivated by the following observation: analysts are usually interested in summary data rather than individual data values. Indeed, our approach can provide a closely estimated summary data for range queries without providing access to actual individual data values. As demonstrated by our experimental results on APB benchmark data set from the OLAP council, the cubic-wise balance method can achieve both better privacy preservation and better range query accuracy than random data perturbation alternatives. © 2005 Elsevier Inc. All rights reserved.
Source Title: Information Sciences
URI: http://scholarbank.nus.edu.sg/handle/10635/39090
ISSN: 00200255
DOI: 10.1016/j.ins.2005.03.010
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