Architecture of an LBS Platform to Support Privacy Control for Tracking Moving Objects in a Ubiquitous Environments

  • JungHee Jo
  • KyoungWook Min
  • YongJoon Lee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4412)


Due to the rapid growth of the mobile communication technology, obtaining in-detail location information by combining GPS and networks is now available. In such an environment, legal steps are needed to ensure the protection of personal location information on the one hand, and also to regulate the use of personal location information for public purposes on the other hand. In Korea, based on such considerations, the Ministry of Information and Communication (MIC) established and announced a new LBS law. As the new law is proposed, it is essential to make it applicable to the existing LBS technology. In this paper, we propose our solution for applying such a new law to the LBS platform. To do this, we propose architecture for an LBS platform conforming to the new LBS law and the specific scenario of privacy control for tracking moving objects. Especially, we suggest new privacy control mechanisms using privacy profile, such as time clocking, time blurring, area cloaking, and area blurring.


Location Information Location Privacy Access Control Mechanism Privacy Control Ubiquitous Environment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Schiller, J., Voisard, A.: Location Based Services (2004)Google Scholar
  2. 2.
    U.S. Location-based Services Markets-Defining the Enterprise Opportunity, F134-65, Frost & Sullivan (2005),
  3. 3.
    Ministry of Information and Communication Republic of Korea,
  4. 4.
    Comments of the center for democracy and technology,
  5. 5.
    Hwang, T.-H., et al.: Object Tracking for a Video Sequence from a Moving Vehicle: A Multi-modal Approach. ETRI Journal 28(3), 367–370 (2006)Google Scholar
  6. 6.
    Open Mobile Alliance,
  7. 7.
    3rd Generation Partnership Project,
  8. 8.
    Ahn, B.-I., et al.: Location Polling Algorithm for Alerting Service Based on Location. In: Li, K.-J., Vangenot, C. (eds.) W2GIS 2005. LNCS, vol. 3833, pp. 104–114. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  9. 9.
    Civilis, A., et al.: Efficient tracking of moving objects with precision guarantees. In: MOBIQUITOUS 2004, pp. 164–173 (2004)Google Scholar
  10. 10.
    Civilis, A., Jensen, C.S., Pakalnis, S.: Techniques for efficient road network-based tracking of moving objects. IEEE Transactions on Knowledge and Data Engineering 17(5), 698–712 (2005)CrossRefGoogle Scholar
  11. 11.
    Lam, K.-L., et al.: An efficient method for generating location updates for processing of location-dependent continuous queries. In: Proceedings of Seventh International Conference on Database Systems for Advanced Applications, 18-21 (April 2001)Google Scholar
  12. 12.
    Chartier, E., Hashemi, Z.: Surface surveillance systems using point sensors and segment-based tracking. In: The 20th Conference on Digital Avionics Systems, DASC, vol. 1, 14-18 Oct. (2001)Google Scholar
  13. 13.
    Moon, K., et al.: Security Frameworks for Open LBS Based on Web Services Security Mechanism. In: Chen, G., et al. (eds.) ISPA-WS 2005. LNCS, vol. 3759, Springer, Heidelberg (2005)CrossRefGoogle Scholar
  14. 14.
    Lee, M., et al.: A Secure Web Services for Location Based Services in Wireless Networks. In: Mitrou, N.M., et al. (eds.) NETWORKING 2004. LNCS, vol. 3042, Springer, Heidelberg (2004)Google Scholar

Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • JungHee Jo
    • 1
  • KyoungWook Min
    • 1
  • YongJoon Lee
    • 1
  1. 1.Telematics-USN Research Division, Electronics and Telecommunications Research Institute, 161 Gajeong-dong, Yuseong-gu, DaejeonKorea

Personalised recommendations