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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Niu, B. Qinghua Li Xiaoyan Zhu Guohong Cao Hui Li |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Comput. Sci. & Comput. Eng., Univ. of Arkansas, Fayetteville, AR, USA (Qinghua Li) || Nat. Key Lab. of Integrated Networks Services, Xidian Univ., Xi'an, China (Niu, B.; Xiaoyan Zhu; Hui Li) || Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA (Guohong Cao) |
| Abstract | Location-Based Service (LBS) has become a vital part of our daily life. While enjoying the convenience provided by LBS, users may lose privacy since the untrusted LBS server has all the information about users in LBS and it may track them in various ways or release their personal data to third parties. To address the privacy issue, we propose a Dummy-Location Selection (DLS) algorithm to achieve k-anonymity for users in LBS. Different from existing approaches, the DLS algorithm carefully selects dummy locations considering that side information may be exploited by adversaries. We first choose these dummy locations based on the entropy metric, and then propose an enhanced-DLS algorithm, to make sure that the selected dummy locations are spread as far as possible. Evaluation results show that the proposed DLS algorithm can significantly improve the privacy level in terms of entropy. The enhanced-DLS algorithm can enlarge the cloaking region while keeping similar privacy level as the DLS algorithm. |
| Starting Page | 754 |
| Ending Page | 762 |
| File Size | 704881 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781479933600 |
| DOI | 10.1109/INFOCOM.2014.6848002 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-04-27 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Privacy Entropy Servers Algorithm design and analysis Measurement Computers Conferences |
| Content Type | Text |
| Resource Type | Article |
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