面向时序数据发布的隐私保护方法研究

doi:10.11959/j.issn.1000-436x.2015305

Abstract

Abstract:

A differential privacy model was proposed based on the sampling filtering and the mechanism of evaluation.Firstly,fixed sampling method was used to sample the original data and the non-sampling data be published directly.Secondly,for the sampling date,utilize the differential privacy mechanism to add the noise.Then,use Kalman to correct the sampling date.Finally,use the mutual information to evaluate data under different sampling intervals.Through the experiment,it is proved that the mechanism can achieve a good balance between the practicality and protective.

Key words: differential privacy, time-series data, data publication, sample, Kalman filter, mutual information

Dong YU,Hai-yan KANG. Privacy protection method on time-series data publication[J]. Journal on Communications, 2015, 36(Z1): 243-249.

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