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Privacy Protection in Location-Based Services Through a Public-Key Privacy Homomorphism

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Part of the Lecture Notes in Computer Science book series (LNSC,volume 4582)

Abstract

Location-Based Services (LBS) can be accessed from a variety of mobile devices to obtain value added information related to the location of the user. Most of the times, these services are provided by a trusted company (e.g. a telecommunications company). However, the massive use of mobile devices pave the way for the creation of ad hoc wireless networks that can be used to exchange information based on locations. In the latter case, these LBS could be provided by an untrusted party. Sending the location to an untrusted LBS provider could put the privacy of the user in jeopardy. In this paper we propose a novel technique to guarantee the privacy of users of LBS. Our technique consists of several modules, but the highest degree of security is achieved thanks to the use of a public-key privacy homomorphism. Unlike the existing approaches, our proposal does not need any trusted third party to anonymise the users and only makes use of a public-key infrastructure.

Keywords

  • location privacy
  • public-key privacy homomorphism

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References

  1. Domingo-Ferrer, J., Sebé, F., Solanas, A.: A polynomial-time approximation to optimal multivariate microaggregation. In: Computer and Mathematics with Applications (in press, 2007)

    Google Scholar 

  2. Gedik, B., Liu, L.: A Customizable k-Anonymity Model for Protecting Location Privacy (2004)

    Google Scholar 

  3. Gruteser, M., Grunwald, D.: Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking. In: Proceedings of the First International Conference on Mobile Systems, Applications, and Services, pp. 31–42 (2003)

    Google Scholar 

  4. Mokbel, M.F.: Towards Privacy-Aware Location-Based Database Servers. International Workshop on Privacy Data Management, PDM (April 2006)

    Google Scholar 

  5. Okamoto, T., Uchiyama, S.: A new public-key cryptosystem as secure as factoring. Lecture notes in computer science, pp. 308–318

    Google Scholar 

  6. Bertino, E., Cheng, R., Zhang, Y., Prabhakar, S.: Preserving user location privacy in mobile data management infrastructures. In: Proceedings of Privacy Enhancing Technology Workshop (PET) (2006)

    Google Scholar 

  7. Rivest, R.L., Adleman, L., Dertouzos, M.L.: On data banks and privacy homomorphisms. Foundations of Secure Computation, 169–178 (1978)

    Google Scholar 

  8. Sweeney, L.: k-anonymity: A model for protecting privacy. Fuzziness and Knowledge Based Systems 10(5), 557–570 (2002)

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Authors

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Javier Lopez Pierangela Samarati Josep L. Ferrer

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© 2007 Springer-Verlag Berlin Heidelberg

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Solanas, A., Martínez-Ballesté, A. (2007). Privacy Protection in Location-Based Services Through a Public-Key Privacy Homomorphism. In: Lopez, J., Samarati, P., Ferrer, J.L. (eds) Public Key Infrastructure. EuroPKI 2007. Lecture Notes in Computer Science, vol 4582. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73408-6_28

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  • DOI: https://doi.org/10.1007/978-3-540-73408-6_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73407-9

  • Online ISBN: 978-3-540-73408-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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