@comment{ generated by <http://infoscience.epfl.ch/> }

@InProceedings{LCA-CONF-2009-018,
   abstract    = {We propose a novel framework for measuring and
                 evaluating location privacy preserving mechanisms in
                 mobile wireless networks. Within this framework, we first
                 present a formal model of the system, which provides an
                 efficient representation of the network users, the
                 adversaries, the location privacy preserving mechanisms
                 and the resulting location privacy of the users. This
                 model is general enough to accurately express and analyze
                 a variety of location privacy metrics that were proposed
                 earlier. We provide formal representations of four among
                 the most relevant categories of location privacy metrics,
                 by using the proposed model. We also present a detailed
                 comparative analysis of these metrics based on a set of
                 criteria for location privacy measurement. Finally, we
                 propose a novel and effective metric for measuring
                 location privacy, called distortion-based metric, which
                 satisfies these criteria for privacy measurement and is
                 capable of capturing the mobile users' location privacy
                 more precisely than the existing metrics. Our metric
                 measures location privacy as the expected level of
                 distortion of the adversary's hypothesized trajectories
                 of the users, considering the adversary's knowledge and
                 also the observed parts of the users' trajectories.},
   address     = { },
   affiliation = {EPFL},
   author      = {Shokri, Reza and Freudiger, Julien and Jadliwala,
                 Murtuza and Hubaux, Jean-Pierre},
   booktitle   = {{ACM} {W}orkshop on {P}rivacy in the {E}lectronic {S}ociety ({WPES})},
   details     = {http://infoscience.epfl.ch/record/140461},
   documenturl = {http://infoscience.epfl.ch/record/140461/files/Shokri WPES.ppt},
   keywords    = {Location Privacy; Formal Framework; Metric; MICS;
                 NCCR-MICS; NCCR-MICS/CL3},
   location    = {Chicago, IL, USA},
   oai-id      = {oai:infoscience.epfl.ch:140461},
   oai-set     = {conf},
   publisher   = { },
   review      = {REVIEWED},
   series      = { },
   status      = {PUBLISHED},
   submitter   = {179576},
   title       = {A {D}istortion-based {M}etric for {L}ocation {P}rivacy},
   unit        = {LCA LCA1},
   url         = { },
   year        = 2009
}