Novel method of frequent item filtering mechanism in privacy-preserving
Hongrun Wu · Jisuanji yingyong yanjiu · 2012
In order to improve the accuracy of publishing dataset,this paper put forward a novel privacy preserving method that was based on frequent item filtering mechanism,which aimed at to solve the existing issue of over-protected privacy in differential-privacy preserving methods.This method solved the issue by preprocessing the data source,namely,filtering non-frequent items firstly,and then performing the differential-privacy algorithm.The protection level of a frequent item filtering mechanism of privacy preserving method was proved to be differential-privacy in this paper.Experiment results show that the accuracy of the publishing data that of proposed method is higher than the current differential-privacy methods under the same degree of privacy protection.