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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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2015-11-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015305/ |
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| _version_ | 1841539590630932480 |
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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-86caccaf52694a5cb2ce1dfbdd70d4c6 |
| institution | Kabale University |
| 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-86caccaf52694a5cb2ce1dfbdd70d4c62025-01-14T06:54:29ZzhoEditorial 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/zh/article/doi/10.11959/j.issn.1000-436x.2015305/differential privacytime-series datadata publicationsampleKalman filtermutual 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/zh/article/doi/10.11959/j.issn.1000-436x.2015305/ |
| work_keys_str_mv | AT dongyu privacyprotectionmethodontimeseriesdatapublication AT haiyankang privacyprotectionmethodontimeseriesdatapublication |