Preserving privacy for statistical application in data publishing
Liu Shancheng · Computer Engineering and Applications Journal · 2011
Current privacy preservation models are almost general data publishing methods.Evaluation of information loss can not reflect the quality of published data well for some specific application.This paper proposes a sequence table publishing model based on user interactivity for statistical application.The model considers requirements of users and publishes data based on min-covers of consistent class without separating quasi identifiers and sensitive attributes.Experimental results show that the proposed model has a good query accuracy for mass data sets.