Novel Algorithm on Electronic Medical Record Privacy Protection Against Background Knowledge Attack

In the regional medical information sharing situation,traditional anonymity privacy protection algorithm performs poor resistance when facing with background knowledge attack.So this paper introduces the anonymous sensitive attribute clustering algorithm.The algorithm uses the links between sensitive attributes to make micro-property clustering,it increases the similarity between the sensitive attributes in the equivalent group while remaining the difference between them.The algorithm can perform better resistance while facing background knowledge attack with improved ability to resistant the leakage risks.Experimental results show that the loss of privacy in the data sheet risk reduced substantially when using the algorithm.