Privacy Preserving Technology for Multiple Sensitive Attributes in Medical Data Publishing

In view of the privacy leak problem of secure data publishing when sensitive data contains multi-attributes,on the basis of analysing the multi-dimension bucket approach,this paper proposed an L-coverage clustering grouping approach based on the same sensitive attribute set and the idea of lossy join.Firstly it calculated the same sensitive attri-bute set of each record,and then we grouped each record which satisfies the constraints of L-coverage following the idea of clustering.Also we designed a LCCG algorithm to implement the approach.Experimental results on the real world datasets show that the new model is able to reduce privacy disclosure apparently and enforce security of data publi-shing.