CLM:differential privacy protection method for trajectory publishing
In order to solve the problem existing in differential privacy preserving publishing methods that the independent noise was easy to be filtered out,a differential privacy publishing method for trajectory data (CLM),was proposed.A correlated Laplace mechanism was presented by CLM,which let Gauss nois...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2017-06-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017119/ |
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| _version_ | 1841539549319135232 |
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| author | Hao WANG Zheng-quan XU Li-zhi XIONG Tao WANG |
| author_facet | Hao WANG Zheng-quan XU Li-zhi XIONG Tao WANG |
| author_sort | Hao WANG |
| collection | DOAJ |
| description | In order to solve the problem existing in differential privacy preserving publishing methods that the independent noise was easy to be filtered out,a differential privacy publishing method for trajectory data (CLM),was proposed.A correlated Laplace mechanism was presented by CLM,which let Gauss noises pass through a specific filter to produce noise whose auto-correlation function was similar with original trajectory series.Then the correlated noise was added to the original track and the perturbed track was released.The experimental results show that the proposed method can achieve higher privacy protection and guarantee better data utility compared with existing differential privacy preserving publishing methods for trajectory data. |
| format | Article |
| id | doaj-art-fe48b9b21a524f029827d859face028a |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2017-06-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-fe48b9b21a524f029827d859face028a2025-01-14T07:12:12ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-06-0138859659709657CLM:differential privacy protection method for trajectory publishingHao WANGZheng-quan XULi-zhi XIONGTao WANGIn order to solve the problem existing in differential privacy preserving publishing methods that the independent noise was easy to be filtered out,a differential privacy publishing method for trajectory data (CLM),was proposed.A correlated Laplace mechanism was presented by CLM,which let Gauss noises pass through a specific filter to produce noise whose auto-correlation function was similar with original trajectory series.Then the correlated noise was added to the original track and the perturbed track was released.The experimental results show that the proposed method can achieve higher privacy protection and guarantee better data utility compared with existing differential privacy preserving publishing methods for trajectory data.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017119/trajectory publishingprivacy preservingdifferential privacycorrelated Laplace |
| spellingShingle | Hao WANG Zheng-quan XU Li-zhi XIONG Tao WANG CLM:differential privacy protection method for trajectory publishing Tongxin xuebao trajectory publishing privacy preserving differential privacy correlated Laplace |
| title | CLM:differential privacy protection method for trajectory publishing |
| title_full | CLM:differential privacy protection method for trajectory publishing |
| title_fullStr | CLM:differential privacy protection method for trajectory publishing |
| title_full_unstemmed | CLM:differential privacy protection method for trajectory publishing |
| title_short | CLM:differential privacy protection method for trajectory publishing |
| title_sort | clm differential privacy protection method for trajectory publishing |
| topic | trajectory publishing privacy preserving differential privacy correlated Laplace |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017119/ |
| work_keys_str_mv | AT haowang clmdifferentialprivacyprotectionmethodfortrajectorypublishing AT zhengquanxu clmdifferentialprivacyprotectionmethodfortrajectorypublishing AT lizhixiong clmdifferentialprivacyprotectionmethodfortrajectorypublishing AT taowang clmdifferentialprivacyprotectionmethodfortrajectorypublishing |