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On the Interactions between Privacy-Preserving, Incentive, and Inference Mechanisms in Participatory Sensing Systems

  • Idalides J. Vergara-Laurens
  • Diego Mendez-Chaves
  • Miguel A. Labrador
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7873)

Abstract

In Participatory Sensing (PS) systems people agree to utilize their cellular phone resources to sense and transmit the data of interest. Although PS systems have the potential to collect enormous amounts of data to discover and solve new collective problems, they have not been very successful in practice, mainly because of lack of incentives for participation and privacy concerns. Therefore, several incentive and privacy-preserving mechanisms have been proposed. However, these mechanisms have been traditionally studied in isolation overseeing the interaction between them. In this paper we include a model and implement several of these mechanisms to study the interactions and effects that they may have on one another and, more importantly, on the quality of the information that the system provides to the final user. Our experiments show that privacy-preserving mechanisms and incentive mechanisms may in fact affect each other’s performance and, more importantly, the quality of the information to the final user.

Keywords

Participatory sensing privacy-preserving incentive mechanisms inference mechanisms P-sense 

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References

  1. 1.
    Agrawal, R., Srikant, R.: Privacy-preserving data mining. In: Proceedings of the 2000 ACM International Conference on Management of Data - SIGMOD, Dallas, Texas, USA, vol. 29, pp. 439–450 (May 2000)Google Scholar
  2. 2.
    Cornelius, C., Kapadia, A., Kotz, D., Peebles, D., Shin, M., Triandopoulos, N.: Anonysense: Privacy-aware people-centric sensing. In: Proceedings of the 6th International Conference on Mobile Systems, Applications, and Services - MobiSys, Breckenridge, Colorado, USA, pp. 211–224 (June 2008)Google Scholar
  3. 3.
    Goovaerts, P.: Geostatistics for Natural Resources Evaluation, volume 4th printing. Oxford University Press, USA (1997)Google Scholar
  4. 4.
    Hoh, B., Gruteser, M., Herring, R., Ban, J., Work, D., Herrera, J.C., Bayen, A.M., Annavaram, M., Jacobson, Q.: Virtual trip lines for distributed privacy-preserving traffic monitoring. In: Proceedings of the 6th International Conference on Mobile Systems, Applications, and Services - MobiSys, Breckenridge, Colorado, USA, pp. 15–28 (June 2008)Google Scholar
  5. 5.
    Jaimes, L., Vergara-Laurens, I., Labrador, M.: A location-based incentive mechanism for participatory sensing systems with budget constraints. In: Proceeding of the 2012 IEEE International Conference on Pervasive Computing and Communications - PERCOM, Lugano, Switzerland (March 2012)Google Scholar
  6. 6.
    Juong-Sik, L., Baik, H.: Sell your experiences: a market mechanism based incentive for participatory sensing. In: IEEE International Conference on Pervasive Computing and Communications - PerCom, Mannheim, Germany, pp. 60–68 (April 2010)Google Scholar
  7. 7.
    Mendez, D., Labrador, M., Ramachandran, K.: Data interpolation for participatory sensing systems. Submitted to the Pervasive and Mobile Computing Journal (Summer 2012)Google Scholar
  8. 8.
    Mendez, D., Perez, A., Labrador, M., Marron, J.: P-sense: A participatory sensing system for air pollution monitoring and control. In: Proceedings of IEEE International Conference on Pervasive Computing and Communications, pp. 344–347 (2011)Google Scholar
  9. 9.
    Moore, R.: Geostatistics in hydrology: Kriging interpolation. Technical report, Mathematics Department, Macquarie University, Sydney (1999)Google Scholar
  10. 10.
    Vergara-Laurens, I., Labrador, M.: Preserving privacy while reducing power consumption and information loss in lbs and participatory sensing applications. In: Proceedings of the 2011 IEEE Global Communication Conference Workshops - GLOBECOM Workshops, Houston, Texas, USA (December 2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Idalides J. Vergara-Laurens
    • 1
  • Diego Mendez-Chaves
    • 2
  • Miguel A. Labrador
    • 1
  1. 1.University of South FloridaTampaUSA
  2. 2.Pontificia Universidad JaverianaBogotaColombia

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