Skip to main content
SpringerLink
Log in

A Dual Privacy Preserving Approach for Location-Based Services in Mobile Multicast Environment

  • Published:
Mobile Networks and Applications Aims and scope Submit manuscript

Abstract

Privacy preserving is imperative for mobile location-based services of which the location data of the users and their objects of interest are subject to exploitation. A variety of privacy preserving mechanisms for location-based query has been proposed in recent years, but these current methods are generally either focused on the privacy of the users or the desired objects, which are not sufficient in mobile multicast environment. This paper introduces a novel dual privacy preserving approach, encompassing anonymous user’s location and object of interests as a means to minimize privacy risks for location-based services in multicast wireless environment. Experimental evaluation of the proposed method on a simulation platform demonstrated its effectiveness in preserving users’ privacy whilst ensuring minimum response time and power utilization of the users to receive the relevant objects.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  1. Waluyo AB, Srinivasan B, Taniar D (2005) Research on location-dependent queries in mobile databases. Int J Comput Syst Sci Eng 20(2):79–95

    Google Scholar 

  2. Waluyo AB, Srinivasan B, Taniar D (2005) Research in mobile database query optimization and processing. Mob Inf Syst 1(4):225–252

    Google Scholar 

  3. Chow, C-Y., Mokbel, M.F., “Privacy in location-based services: a system architecture perspective”, ACM SIGSPATIAL Spec Lett Privacy Locat Based Serv, 1(2):23–27, 2009

  4. Hu, H., Xu, J., On S. T., Du, J., Ng, J. K-Y., “Privacy-Aware Location Data Publishing”, ACM Transactions on Database Systems, 35(3), Article 18, 2010

  5. Palanisamy B, Liu L (2011) Mobimix: protecting location privacy with mix zones over road networks. In proceedings of IEEE ICDE, pp 494-505

  6. Du J, Xu J, Tang X, Hu H (2007) iPDA: supporting privacy-preserving location-based mobile services. In proceedings of international conference on mobile data management, pp 212–214

  7. Chow C-Y, Mokbel MF, Liu X (2011) Spatial cloaking for anonymous location-based services in mobile peer-to-peer environments. GeoInformatica 15(2):351–380

  8. Hu H, Zu J (2010) 2PASS: bandwidth-optimised location cloaking for anonymous location-based services. IEEE Trans Parallel Distrib Syst 21(10):1458–1472

    Article  Google Scholar 

  9. Wozniak S, Rossberg M, Girlich F, Schaefer G (2013) Geocast into the Past: Towards a Privacy-Preserving Spatiotemporal Multicast for Cellular Networks. In Proceedings of IEEE International Conference on Communications, pp 2016–2021

  10. Waluyo, A.B., Taniar D., Srinivasan B., Rahayu, W. “mobile query services in a participatory embedded sensing environment”, ACM Transactions on Embedded Computing Systems, 12(2), Article 31, 2013

  11. Xu J, Zheng B, Lee W-C, Lee DL (2003) Energy efficient index for querying location-dependent data in mobile broadcast environments. Proc. of the 19th IEEE ICDE, pp 239-250

  12. Shao Z, Taniar D, Adhinugraha KM (2015) Range-kNN queries with privacy protection in a mobile environment. Pervasive Mob Comput 24:30–49

    Article  Google Scholar 

  13. Shao Z, Cheema MA, Taniar D, Lu H (2016) VIP-tree: an effective index for indoor spatial queries. PLVDB 10(3):325–336

    Google Scholar 

  14. Ashrafi MZ, Ng SK (2009) Efficient and anonymous online data collection. In proceedings of 14th international conference on database Systems for Advanced Applications, LNCS 5463, pp 471-485

  15. Manolopoulos Y, Nanopoulos A, Papadopoulos AN, Theodoridis Y (2006) R-trees: theory and applications. Springer-Verlag, London

    Book  MATH  Google Scholar 

  16. Guttman A (1984) R-trees: a dynamic index structure for spatial searching. ACM SIGMOD Rec 14(2):47–57

    Article  Google Scholar 

  17. Taniar D, Rahayu W (2013) A taxonomy for nearest neighbour queries in spatial databases. J Comput Syst Sci 79(7):1017–1039

    Article  MathSciNet  MATH  Google Scholar 

  18. Lee, D. T., Drysdale, R. L, III, ‘Generalisation of Voronoi diagrams in the plane”, SIAM J Comput, 10(1): 73–87, 1981

Download references

Author information

Authors and Affiliations

  1. Clayton Faculty of Information Technology, Monash University, Melbourne, Australia

    Agustinus Borgy Waluyo, David Taniar & Bala Srinivasan

  2. School of Engineering and Mathematical Sciences, Latrobe University, Melbourne, Australia

    Wenny Rahayu

Authors
  1. Agustinus Borgy Waluyo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. David Taniar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Wenny Rahayu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Bala Srinivasan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Agustinus Borgy Waluyo.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Waluyo, A.B., Taniar, D., Rahayu, W. et al. A Dual Privacy Preserving Approach for Location-Based Services in Mobile Multicast Environment. Mobile Netw Appl 23, 34–43 (2018). https://doi.org/10.1007/s11036-017-0898-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11036-017-0898-6

Keywords

Search

Navigation