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Location Privacy Protection on Social Networks

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Social Computing, Behavioral-Cultural Modeling and Prediction (SBP 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6589))

Abstract

Location information is considered as private in many scenarios. Protecting location information on mobile ad-hoc networks has attracted much research in past years. However, location information protection on social networks has not been paid much attention. In this paper, we present a novel location privacy protection approach on the basis of user messages in social networks. Our approach grants flexibility to users by offering them multiple protecting options. To the best of our knowledge, this is the first attempt to protect social network users’ location information via text messages. We propose five algorithms for location privacy protection on social networks.

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© 2011 Springer-Verlag Berlin Heidelberg

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Zhan, J., Fang, X. (2011). Location Privacy Protection on Social Networks. In: Salerno, J., Yang, S.J., Nau, D., Chai, SK. (eds) Social Computing, Behavioral-Cultural Modeling and Prediction. SBP 2011. Lecture Notes in Computer Science, vol 6589. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19656-0_12

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  • DOI: https://doi.org/10.1007/978-3-642-19656-0_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19655-3

  • Online ISBN: 978-3-642-19656-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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