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dc.contributor.authorde Montjoye, Yves-Alexandre
dc.contributor.authorShmueli, Erez
dc.contributor.authorWang, Samuel S.
dc.contributor.authorPentland, Alex Paul
dc.date.accessioned2014-07-11T13:21:16Z
dc.date.available2014-07-11T13:21:16Z
dc.date.issued2014-07
dc.date.submitted2014-03
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/1721.1/88264
dc.description.abstractThe rise of smartphones and web services made possible the large-scale collection of personal metadata. Information about individuals' location, phone call logs, or web-searches, is collected and used intensively by organizations and big data researchers. Metadata has however yet to realize its full potential. Privacy and legal concerns, as well as the lack of technical solutions for personal metadata management is preventing metadata from being shared and reconciled under the control of the individual. This lack of access and control is furthermore fueling growing concerns, as it prevents individuals from understanding and managing the risks associated with the collection and use of their data. Our contribution is two-fold: (1) we describe openPDS, a personal metadata management framework that allows individuals to collect, store, and give fine-grained access to their metadata to third parties. It has been implemented in two field studies; (2) we introduce and analyze SafeAnswers, a new and practical way of protecting the privacy of metadata at an individual level. SafeAnswers turns a hard anonymization problem into a more tractable security one. It allows services to ask questions whose answers are calculated against the metadata instead of trying to anonymize individuals' metadata. The dimensionality of the data shared with the services is reduced from high-dimensional metadata to low-dimensional answers that are less likely to be re-identifiable and to contain sensitive information. These answers can then be directly shared individually or in aggregate. openPDS and SafeAnswers provide a new way of dynamically protecting personal metadata, thereby supporting the creation of smart data-driven services and data science research.en_US
dc.description.sponsorshipU.S. Army Research Laboratory (Cooperative Agreement W911NF-09-2-0053)en_US
dc.description.sponsorshipCenter for Complex Engineering Systemsen_US
dc.description.sponsorshipMIT Media Lab Consortiumen_US
dc.language.isoen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1371/journal.pone.0098790en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourcePLoSen_US
dc.titleopenPDS: Protecting the Privacy of Metadata through SafeAnswersen_US
dc.typeArticleen_US
dc.identifier.citationde Montjoye, Yves-Alexandre, Erez Shmueli, Samuel S. Wang, and Alex Paul Pentland.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.contributor.mitauthorde Montjoye, Yves-Alexandreen_US
dc.contributor.mitauthorShmueli, Erezen_US
dc.contributor.mitauthorWang, Samuel S.en_US
dc.contributor.mitauthorPentland, Alex Paulen_US
dc.relation.journalPLoS ONEen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsde Montjoye, Yves-Alexandre; Shmueli, Erez; Wang, Samuel S.; Pentland, Alex Paul. (2014). "openPDS: Protecting the Privacy of Metadata through SafeAnswers." PLoS ONE 9(7): e98790.en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-8053-9983
dc.identifier.orcidhttps://orcid.org/0000-0002-0346-2994
dc.identifier.orcidhttps://orcid.org/0000-0001-9086-589X
mit.licensePUBLISHER_CCen_US


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