Open Access
Issue
MATEC Web Conf.
Volume 173, 2018
2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
Article Number 03048
Number of page(s) 7
Section Digital Signal and Image Processing
DOI https://doi.org/10.1051/matecconf/201817303048
Published online 19 June 2018
  1. Gruteser M, Grunwald D. Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking, International Conference on Mobile Systems, Applications, and Services. 31-42 (2003). [Google Scholar]
  2. Man L Y, Jensen C S, Huang X, et al. SpaceTwist: Managing the Trade-Offs Among Location Privacy, Query Performance, and Query Accuracy in Mobile Services, International Conference on Data Engineering. 366-375 (2008). [Google Scholar]
  3. Bu G G, Liu L. A Customizable k-Anonymity Model for Protecting Location Privacy. Icdcs, 620—629 (2004). [Google Scholar]
  4. Gedik B, Liu L. Protecting Location Privacy with Personalized k-Anonymity: Architecture and Algorithms, Educational Activities Department, 1 — 18 (2007). [Google Scholar]
  5. Xu T, Cai Y. Exploring Historical Location Data for Anonymity Preservation in Location-Based Services. the, Conference on Computer Communications. 547-555 (2008). [Google Scholar]
  6. Xu T, Cai Y. Feeling-based location privacy protection for location-based services, ACM Conference on Computer and Communications Security, 348-357 (2009). [Google Scholar]
  7. Pan X, Xu J, Meng X. Protecting location privacy against location-dependent attack in mobile services, ACM Conference on Information and Knowledge Management. 1475-1476(2008). [Google Scholar]
  8. GENG Kui, LI Feng-hua, et al.. Proxy-based privacy-preserving scheme for mobile Internet. Journal on Communications, 36, 25-32 (2015). [Google Scholar]
  9. LIU Shu-bo,LI Yan-min,LIU Meng-jun. Privacy-preserving for Location-based Service over Encrypted Data Search, Hubei Province Computer Society academic annual meeting, 34-35(2014). [Google Scholar]
  10. Pan Xiao, Hao Xing, Meng Xiao-feng. Privacy Preserving Towards Continuous Query in Location-Based Services. Journal of Computer Research and Development, 47, 121-129 (2010). [Google Scholar]
  11. JIA Jin-ying, ZHANG Feng-li. Incremented KNN inquiry algorithm based on grid of latitude-longitude for location privacy protection. Journal of Application Research of Computers, 31, 1001-3695 (2014). [Google Scholar]
  12. LI Xiangdongl, ZHANG Shaobo, et al.. Location Privacy Protection Method Based on Grid. Journal of Frontiers of Computer Science and Technology, 11, 258-1268 (2017) [Google Scholar]
  13. Jia Jinying, ZHANG Fengli. Non-exposure accurate location K-anonymity algorithm in LBS. Scientific World.Scientific world journal. 619357 (2014). [Google Scholar]
  14. Hu Demin, Zheng Xia. SpaceTwist-based k-anonymity incremental nearest neighbor query algorithm for location privacy protection. Journal of Application Research of Computers, 33, 2402-2404 (2016). [Google Scholar]
  15. Pingley A, Yu W, Zhang N, et al. CAP: A Context-Aware Privacy Protection System for Location-Based Services, IEEE International Conference on Distributed Computing Systems. 49-57 (2009). [Google Scholar]
  16. XU E Jiao,LIU Xiang-Yu, et al. A Location Privacy Preserving Approach on Road Network. Chinese Journal of Computers, 34, 865-878 (2011). [CrossRef] [Google Scholar]
  17. Zhou Chang, Ma Chunguang, CLi Zengpeng. Privacy-preserving method for KNN query in road networks. Journal of Application Research of Computers, 2016, 262-265 (2016). [Google Scholar]
  18. Ayong Ye, Yacheng Li, Li Xu, Qing Li,et al. A Trajectory Privacy-Preserving Algorithm Based on Road Networks in Continuous Location-Based Services, IEEE International Conference on Communications. 1-4 (2017). [Google Scholar]

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