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| Content Provider | Springer Nature Link |
|---|---|
| Author | Pan, Xiao Meng, Xiaofeng |
| Copyright Year | 2013 |
| Abstract | Privacy preservation has recently received considerable attention in location-based services (LBSs). A large number of location cloaking algorithms have been proposed for protecting the location privacy of mobile users. However, most existing cloaking approaches assume that mobile users are trusted. And exact locations are required to protect location privacy, which is exactly the information mobile users want to hide. In this paper, we propose a p-anti-conspiration privacy model to anonymize over semi-honest users. Furthermore, two k*NNG-based cloaking algorithms, vk*NNCA and ek*NNCA, are proposed to protect location privacy without exact locations. The efficiency and effectiveness of the proposed algorithms are validated by a series of carefully designed experiments. The experimental results show that the price paid for location privacy protection without exact locations is small. |
| Starting Page | 317 |
| Ending Page | 340 |
| Page Count | 24 |
| File Format | |
| ISSN | 20952228 |
| Journal | Frontiers of Computer Science in China |
| Volume Number | 7 |
| Issue Number | 3 |
| e-ISSN | 20952236 |
| Language | English |
| Publisher | SP Higher Education Press |
| Publisher Date | 2013-05-03 |
| Publisher Institution | Chinese Universities |
| Publisher Place | Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | location privacy semi-honest users privacy preservation location-based services Computer Science |
| Content Type | Text |
| Resource Type | Article |
| Subject | Theoretical Computer Science Computer Science |
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