Publication Date:
2016-03-19
Description:
De Montjoye et al. (Reports, 30 January 2015, p. 536) claimed that most individuals can be reidentified from a deidentified transaction database and that anonymization mechanisms are not effective against reidentification. We demonstrate that anonymization can be performed by techniques well established in the literature.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sanchez, David -- Martinez, Sergio -- Domingo-Ferrer, Josep -- New York, N.Y. -- Science. 2016 Mar 18;351(6279):1274. doi: 10.1126/science.aad9295.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉United Nations Educational, Scientific, and Cultural Organization (UNESCO) Chair in Data Privacy, Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili (URV), Avenue Paisos Catalans, 26, E-43007, Tarragona, Catalonia. david.sanchez@urv.cat. ; United Nations Educational, Scientific, and Cultural Organization (UNESCO) Chair in Data Privacy, Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili (URV), Avenue Paisos Catalans, 26, E-43007, Tarragona, Catalonia.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26989243" target="_blank"〉PubMed〈/a〉
Keywords:
*Commerce
;
*Data Collection
;
Female
;
Humans
;
*Information Dissemination
;
Male
;
*Privacy
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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