Privacy protection method on time-series data publication

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 ad...

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Main Authors: Dong YU, Hai-yan KANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2015-11-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2015305
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author Dong YU
Hai-yan KANG
author_facet Dong YU
Hai-yan KANG
author_sort Dong YU
collection DOAJ
description 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.
format Article
id doaj-art-92655f6f0f5b491d96b6e0caef8abc3f
institution OA Journals
issn 1000-436X
language zho
publishDate 2015-11-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-92655f6f0f5b491d96b6e0caef8abc3f2025-08-20T02:09:30ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-11-013624324959698120Privacy protection method on time-series data publicationDong YUHai-yan KANGA 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.http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2015305differential privacy;time-series data;data publication;sample;Kalman filter;mutual information
spellingShingle Dong YU
Hai-yan KANG
Privacy protection method on time-series data publication
Tongxin xuebao
differential privacy;time-series data;data publication;sample;Kalman filter;mutual information
title Privacy protection method on time-series data publication
title_full Privacy protection method on time-series data publication
title_fullStr Privacy protection method on time-series data publication
title_full_unstemmed Privacy protection method on time-series data publication
title_short Privacy protection method on time-series data publication
title_sort privacy protection method on time series data publication
topic differential privacy;time-series data;data publication;sample;Kalman filter;mutual information
url http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2015305
work_keys_str_mv AT dongyu privacyprotectionmethodontimeseriesdatapublication
AT haiyankang privacyprotectionmethodontimeseriesdatapublication