dc.contributor.author | Radaelli, L. | |
dc.contributor.author | de Montjoye, Yves-Alexandre | |
dc.contributor.author | Singh, Vivek Kumar | |
dc.contributor.author | Pentland, Alex Paul | |
dc.date.accessioned | 2015-04-01T18:36:44Z | |
dc.date.available | 2015-04-01T18:36:44Z | |
dc.date.issued | 2015-01 | |
dc.date.submitted | 2014-05 | |
dc.identifier.issn | 0036-8075 | |
dc.identifier.issn | 1095-9203 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/96321 | |
dc.description.abstract | Large-scale data sets of human behavior have the potential to fundamentally transform the way we fight diseases, design cities, or perform research. Metadata, however, contain sensitive information. Understanding the privacy of these data sets is key to their broad use and, ultimately, their impact. We study 3 months of credit card records for 1.1 million people and show that four spatiotemporal points are enough to uniquely reidentify 90% of individuals. We show that knowing the price of a transaction increases the risk of reidentification by 22%, on average. Finally, we show that even data sets that provide coarse information at any or all of the dimensions provide little anonymity and that women are more reidentifiable than men in credit card metadata. | en_US |
dc.description.sponsorship | European Commission. Framework Programme 7 (Marie Curie Action. Grant 264994) | en_US |
dc.description.sponsorship | U.S. Army Research Laboratory (Cooperative Agreement W911NF-09-2-0053) | en_US |
dc.description.sponsorship | Belgian American Educational Foundation, inc. | en_US |
dc.description.sponsorship | Wallonie-Bruxelles International | en_US |
dc.language.iso | en_US | |
dc.publisher | American Association for the Advancement of Science (AAAS) | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1126/science.1256297 | en_US |
dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
dc.source | de Montjoye | en_US |
dc.title | Unique in the shopping mall: On the reidentifiability of credit card metadata | en_US |
dc.type | Article | en_US |
dc.identifier.citation | De Montjoye, Y.-A., L. Radaelli, V. K. Singh, and A. Pentland. “Unique in the Shopping Mall: On the Reidentifiability of Credit Card Metadata.” Science 347, no. 6221 (January 29, 2015): 536–539. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Media Laboratory | en_US |
dc.contributor.department | Program in Media Arts and Sciences (Massachusetts Institute of Technology) | en_US |
dc.contributor.approver | de Montjoye, Yves-Alexandre | en_US |
dc.contributor.mitauthor | de Montjoye, Yves-Alexandre | en_US |
dc.contributor.mitauthor | Singh, Vivek Kumar | en_US |
dc.contributor.mitauthor | Pentland, Alex Paul | en_US |
dc.relation.journal | Science | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dspace.orderedauthors | de Montjoye, Y.-A.; Radaelli, L.; Singh, V. K.; Pentland, A. | en_US |
dc.identifier.orcid | https://orcid.org/0000-0002-8053-9983 | |
dc.identifier.orcid | https://orcid.org/0000-0001-9086-589X | |
mit.license | PUBLISHER_POLICY | en_US |
mit.metadata.status | Complete | |