Journal of East China Normal University(Natural Science) >

2015 , Vol. 2015 >Issue 5: 104 - 115

DOI: https://doi.org/10.3969/j.issn.1000-5641.2015.05.009

Article

Dynamic trajectory anonymization in location based services

  • WEI Shen ,
  • SUN Guang-Zhong ,
  • XIE Xing
Expand

Received date: 2015-09-11

  Online published: 2015-10-08

Fold

Abstract

Locationbased services in user’s mobile device can send geographical information queries to the server continuously, and receive corresponding results to the user. But simultaneously assure the quality of service and none leakage of geographical information is an important problem. This paper used a dummy location method to protect user’s real locations. The device sent multiple locations to the server. The paper also proposed a heuristic algorithm to partition location set and used δ privacy to prevent adversary infer sensitive information from contiguous locations. At last, an experiment on a WiFi access data set shows that five or six locations need to be sent averagely. 

Key words： privacy preservation; location privacy; dummy locations; set partition

Cite this article

WEI Shen , SUN Guang-Zhong , XIE Xing . Dynamic trajectory anonymization in location based services[J]. Journal of East China Normal University(Natural Science), 2015 , 2015(5) : 104 -115 . DOI: 10.3969/j.issn.1000-5641.2015.05.009

References

［1］DWORK C. Differential privacy VAN TILBORG H, JAJODIA S. Encyclopedia of Cryptography and Security. New York: Springer, 2011: 338340.

［2］XIAO Y H, LI X. Dynamic differential privacy for location based applications［EB/OL］.［20150812］.http://arxiv.org/abs/1410.5919.

［3］SWEENEY L. Achieving kanonymity privacy protection using generalization and suppression［J］. International Journal of Uncertainty, Fuzziness and KnowledgeBased Systems,  2002, 10(5): 571588.

［4］PAN X, XU J L, MENG X F. Protecting location privacy against locationdependent attacks in mobile services［J］. IEEE Transactions on Knowledge and Data Engineering, 2012, 24(8): 15061519.

［5］KIDO H, YANAGISAWA Y, SATOH T. An anonymous communication technique using dummies for locationbased services［C］Proceedings of International Conference on Pervasive Services. IEEE, 2005, 8897.

［6］GTZ M, NATH S, GEHRKE J. et al. Privately releasing user context streams for personalized mobile applications［C］Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data. ACM, 2012: 289300.

［7］CHOW C Y, MOKBEL M F. Trajectory privacy in locationbased services and data publication［J］. ACM SIGKDD Explorations Newsletter, 2011, 13(1): 1929.

［8］GHINITA G, KALNIS P, KHOSHGOZARAN A, et al. Private queries in location based services: Anonymizers are not necessary［C］Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data. ACM, 2008: 121132.

［9］SWEENEY L. kanonymity: A model for protecting privacy［J］. International Journal of Uncertainty, Fuzziness and KnowledgeBased Systems, 2002, 10(5): 557570.

［10］HARA T, ARASE Y, YAMAMOTO A, et al. Location anonymization using real car trace data for location based services［C］Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication. ACM, 2014: 34.
Options
Outlines

/

〈 〉