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Entropy-based privacy against profiling of user mobility

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Aplicaciones y Servicios Telemáticos (GAST)es
dc.contributor.authorRodríguez Carrión, Alicia
dc.contributor.authorRebollo Monedero, David
dc.contributor.authorForne, Jordi
dc.contributor.authorCampo Vázquez, María Celeste
dc.contributor.authorGarcía Rubio, Carlos
dc.contributor.authorParra Arnau, Javier
dc.contributor.authorDas, Sajal K.
dc.date.accessioned2019-01-17T09:42:35Z
dc.date.available2019-01-17T09:42:35Z
dc.date.issued2015-06-10
dc.description.abstractLocation-based services (LBSs) flood mobile phones nowadays, but their use poses an evident privacy risk. The locations accompanying the LBS queries can be exploited by the LBS provider to build the user profile of visited locations, which might disclose sensitive data, such as work or home locations. The classic concept of entropy is widely used to evaluate privacy in these scenarios, where the information is represented as a sequence of independent samples of categorized data. However, since the LBS queries might be sent very frequently, location profiles can be improved by adding temporal dependencies, thus becoming mobility profiles, where location samples are not independent anymore and might disclose the user's mobility patterns. Since the time dimension is factored in, the classic entropy concept falls short of evaluating the real privacy level, which depends also on the time component. Therefore, we propose to extend the entropy-based privacy metric to the use of the entropy rate to evaluate mobility profiles. Then, two perturbative mechanisms are considered to preserve locations and mobility profiles under gradual utility constraints. We further use the proposed privacy metric and compare it to classic ones to evaluate both synthetic and real mobility profiles when the perturbative methods proposed are applied. The results prove the usefulness of the proposed metric for mobility profiles and the need for tailoring the perturbative methods to the features of mobility profiles in order to improve privacy without completely loosing utility.en
dc.description.sponsorshipThis work is partially supported by the Spanish Ministry of Science and Innovation through the CONSEQUENCE (TEC2010-20572-C02-01/02) and EMRISCO (TEC2013-47665-C4-4-R) projects.The work of Das was partially supported by NSF Grants IIS-1404673, CNS-1355505, CNS-1404677 and DGE-1433659. Part of the work by Rodriguez-Carrion was conducted while she was visiting the Computer Science Department at Missouri University of Science and Technology in 2013–2014.en
dc.format.extent36
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationRodríguez-Carrion, A., Rebollo-Monedero, D., Forné, J., Campo, C., Garcia-Rubio, C., Parra-Arnau, J., Das, S.K. (2015). Entropy-Based Privacy against Profiling of User Mobility. Entropy, 17 (6), pp. 3913-3946.en
dc.identifier.doihttps://doi.org/10.3390/e17063913
dc.identifier.issn1099-4300
dc.identifier.publicationfirstpage3913
dc.identifier.publicationissue6
dc.identifier.publicationlastpage3946
dc.identifier.publicationtitleEntropyen
dc.identifier.publicationvolume17
dc.identifier.urihttps://hdl.handle.net/10016/27924
dc.identifier.uxxiAR/0000017076
dc.language.isoengen
dc.publisherMDPIen
dc.relation.projectIDGobierno de España. TEC2010-20572-C02-01/02es
dc.relation.projectIDGobierno de España. TEC2013-47665-C4-4-Res
dc.rights© 2015 by the authors; licensee MDPI, Basel, Switzerland.en
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherLocation-based services (LBSs)en
dc.subject.otherEntropyen
dc.subject.otherPrivacyen
dc.subject.otherPerturbative methodsen
dc.subject.otherLocation historyen
dc.titleEntropy-based privacy against profiling of user mobilityen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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