Uncertain trajectory privacy-preserving method of moving object
With the development of location based service(LBS) and location-aware devices，the amount of trajectories of moving objects collected by service providers was continuously increasing,meanwhile,it can cause great threaten for personal privacy.Most researches of trajectory privacy preserving were on d...
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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.2015286/ |
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| _version_ | 1841539621563924480 |
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| author | Shuang WANG Fu-cai ZHOU Li-na WU |
| author_facet | Shuang WANG Fu-cai ZHOU Li-na WU |
| author_sort | Shuang WANG |
| collection | DOAJ |
| description | With the development of location based service(LBS) and location-aware devices，the amount of trajectories of moving objects collected by service providers was continuously increasing,meanwhile,it can cause great threaten for personal privacy.Most researches of trajectory privacy preserving were on deterministic data,however,trajectory’s uncertainty was inherent due to the inaccuracy of data acquisition equipment,delayed update,and so on.A new method was prosed to protect the privacy of trajectory data in publishing.It is the first time to present the idea that transforming the trajectory to an uncertain area to cluster.First,a probability statistics method to model the trajectory to an uncertain area was proposed.Second,the similar uncertain area into a cluster was put and sanitized in an equivalence class.Finally,the performance of the proposal was compared with (K δ)-anonymity model in real datasets. |
| format | Article |
| id | doaj-art-ef2e33a4926d4db79fa3f08a652b6b4c |
| 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-ef2e33a4926d4db79fa3f08a652b6b4c2025-01-14T06:54:19ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-11-01369410259697590Uncertain trajectory privacy-preserving method of moving objectShuang WANGFu-cai ZHOULi-na WUWith the development of location based service(LBS) and location-aware devices，the amount of trajectories of moving objects collected by service providers was continuously increasing,meanwhile,it can cause great threaten for personal privacy.Most researches of trajectory privacy preserving were on deterministic data,however,trajectory’s uncertainty was inherent due to the inaccuracy of data acquisition equipment,delayed update,and so on.A new method was prosed to protect the privacy of trajectory data in publishing.It is the first time to present the idea that transforming the trajectory to an uncertain area to cluster.First,a probability statistics method to model the trajectory to an uncertain area was proposed.Second,the similar uncertain area into a cluster was put and sanitized in an equivalence class.Finally,the performance of the proposal was compared with (K δ)-anonymity model in real datasets.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015286/trajectory data publishingprivacy-preservinguncertain trajectoryK-anonymitytrajectory clustering |
| spellingShingle | Shuang WANG Fu-cai ZHOU Li-na WU Uncertain trajectory privacy-preserving method of moving object Tongxin xuebao trajectory data publishing privacy-preserving uncertain trajectory K-anonymity trajectory clustering |
| title | Uncertain trajectory privacy-preserving method of moving object |
| title_full | Uncertain trajectory privacy-preserving method of moving object |
| title_fullStr | Uncertain trajectory privacy-preserving method of moving object |
| title_full_unstemmed | Uncertain trajectory privacy-preserving method of moving object |
| title_short | Uncertain trajectory privacy-preserving method of moving object |
| title_sort | uncertain trajectory privacy preserving method of moving object |
| topic | trajectory data publishing privacy-preserving uncertain trajectory K-anonymity trajectory clustering |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015286/ |
| work_keys_str_mv | AT shuangwang uncertaintrajectoryprivacypreservingmethodofmovingobject AT fucaizhou uncertaintrajectoryprivacypreservingmethodofmovingobject AT linawu uncertaintrajectoryprivacypreservingmethodofmovingobject |