Time in Privacy Preserving LBSs: An Overlooked Dimension

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Marconi, Luciana ; Di Pietro, Roberto ; Crispo, Bruno ; Conti, Mauro (2011)
  • Publisher: Hindawi Publishing Corporation
  • Journal: International Journal of Vehicular Technology (issn: 1687-5702)
  • Related identifiers: doi: 10.1155/2011/486975
  • Subject: Article Subject

A new privacy model for Location-Based Services (LBSs) has been recently proposed based on users' footprints-these being a repre-sentation of the amount of time a user spends in a given area. Unfortunately, while the model is claimed to be independent from the specific ... View more
  • References (37)
    37 references, page 1 of 4

    Conti, M., Nguyen, V. T. N., Crispo, B.. CRePE: context-related policy enforcement for android.

    Electronic toll collection california (USA).

    London congestion charge.

    Xu, T., Cai, Y.. Exploring historical location data for anonimity preservation in location-based services. : 547-555

    Xu, T., Cai, Y.. Feeling-based location privacy protection for location-based services. : 348-357

    Krumm, J.. A survey of computational location privacy. Personal and Ubiquitous Computing. 2009; 13 (6): 391-399

    LeFevre, K., DeWitt, D. J., Ramakrishnan, R.. Incognito: efficient full-domain K-anonymity. : 49-60

    Solanas, A., Di Pietro, R.. A linear-time multivariate micro-aggregation for privacy protection in uniform very large data sets. ; 5285: 203-214

    Sweeney, L.. k-anonymity: a model for protecting privacy. International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems. 2002; 10 (5): 557-570

    Gruteser, M., Grunwald, D.. Anonymous usage of location-based services through spatial and temporal cloaking. : 31-42

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