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DAWAK
2005
Springer

FMC: An Approach for Privacy Preserving OLAP

10 years 6 months ago
FMC: An Approach for Privacy Preserving OLAP
To preserve private information while providing thorough analysis is one of the significant issues in OLAP systems. One of the challenges in it is to prevent inferring the sensitive value through the more aggregated non-sensitive data. This paper presents a novel algorithm FMC to eliminate the inference problem by hiding additional data besides the sensitive information itself, and proves that this additional information is both necessary and sufficient. Thus, this approach could provide as much information as possible for users, as well as preserve the security. The strategy does not impact on the online performance of the OLAP system. Systematic analysis and experimental comparison are provided to show the effectiveness and feasibility of FMC.
Ming Hua, Shouzhi Zhang, Wei Wang 0009, Haofeng Zh
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Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where DAWAK
Authors Ming Hua, Shouzhi Zhang, Wei Wang 0009, Haofeng Zhou, Baile Shi
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