Trajectory privacy protection scheme based on differential privacy
To solve the problem that the current sampling mechanism and data obfuscation method may raise insufficient data availability and privacy protection, a trajectory privacy protection scheme based on differential privacy was proposed.A new efficient sampling model based on time generalization and spat...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2021-09-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021168/ |
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| _version_ | 1841539278876704768 |
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| author | Si CHEN Anmin FU Mang SU Huaijiang SUN |
| author_facet | Si CHEN Anmin FU Mang SU Huaijiang SUN |
| author_sort | Si CHEN |
| collection | DOAJ |
| description | To solve the problem that the current sampling mechanism and data obfuscation method may raise insufficient data availability and privacy protection, a trajectory privacy protection scheme based on differential privacy was proposed.A new efficient sampling model based on time generalization and spatial segmentation was presented, and a k-means clustering algorithm was designed to process sampling data.By employing the differential privacy mechanism, the trajectory data was disturbed to solve the user privacy leaking problem caused by the attacker with powerful background knowledge.Simultaneously, to respond to the error boundary of the query range of pandemic, an effective prediction mechanism was designed to ensure the availability of released public track data.Simulation results demonstrate that compared with the existing trajectory differential privacy protection methods, the proposed scheme has obvious advantages in terms of processing efficiency, privacy protection intensity, and data availability. |
| format | Article |
| id | doaj-art-639bddaba8e4450b9dcace71b764583b |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2021-09-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-639bddaba8e4450b9dcace71b764583b2025-01-14T07:22:41ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2021-09-0142546459744561Trajectory privacy protection scheme based on differential privacySi CHENAnmin FUMang SUHuaijiang SUNTo solve the problem that the current sampling mechanism and data obfuscation method may raise insufficient data availability and privacy protection, a trajectory privacy protection scheme based on differential privacy was proposed.A new efficient sampling model based on time generalization and spatial segmentation was presented, and a k-means clustering algorithm was designed to process sampling data.By employing the differential privacy mechanism, the trajectory data was disturbed to solve the user privacy leaking problem caused by the attacker with powerful background knowledge.Simultaneously, to respond to the error boundary of the query range of pandemic, an effective prediction mechanism was designed to ensure the availability of released public track data.Simulation results demonstrate that compared with the existing trajectory differential privacy protection methods, the proposed scheme has obvious advantages in terms of processing efficiency, privacy protection intensity, and data availability.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021168/differential privacytrajectory privacydata samplingexponential mechanismdata publishing |
| spellingShingle | Si CHEN Anmin FU Mang SU Huaijiang SUN Trajectory privacy protection scheme based on differential privacy Tongxin xuebao differential privacy trajectory privacy data sampling exponential mechanism data publishing |
| title | Trajectory privacy protection scheme based on differential privacy |
| title_full | Trajectory privacy protection scheme based on differential privacy |
| title_fullStr | Trajectory privacy protection scheme based on differential privacy |
| title_full_unstemmed | Trajectory privacy protection scheme based on differential privacy |
| title_short | Trajectory privacy protection scheme based on differential privacy |
| title_sort | trajectory privacy protection scheme based on differential privacy |
| topic | differential privacy trajectory privacy data sampling exponential mechanism data publishing |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021168/ |
| work_keys_str_mv | AT sichen trajectoryprivacyprotectionschemebasedondifferentialprivacy AT anminfu trajectoryprivacyprotectionschemebasedondifferentialprivacy AT mangsu trajectoryprivacyprotectionschemebasedondifferentialprivacy AT huaijiangsun trajectoryprivacyprotectionschemebasedondifferentialprivacy |