DOI

More and more personal information is available digitally, both collected by organisations and published by individuals. People may attempt to protect their privacy by avoiding to provide uniquely identifying information and by providing different information in different places; however, in many cases, such profiles can still be de-anonymised. Techniques from the record linkage literature can be used for pairwise linking of databases, and for cross-correlation based on these pairwise results. However, the privacy implications of these techniques in the on-line setting are not clear: existing experiments depend on quasi-identifiers and do not focus on cross-correlation. This paper studies the problem of de-anonymisation and, in particular, cross-correlation of multiple databases using only non-identifying information in an on-line setting.

Original languageEnglish
Title of host publicationData Privacy Management and Autonomous Spontaneous Security
Subtitle of host publication8th International Workshop, DPM 2013, and 6th International Workshop, SETOP 2013, Revised Selected Papers
PublisherSpringer Verlag
Pages369-379
Number of pages11
ISBN (Print)9783642545672
DOIs
StatePublished - 2014
Externally publishedYes
Event8th International Workshop on Data Privacy Management, DPM 2013 and 6th International Workshop on Autonomous and Spontaneous Security, SETOP 2013 - Egham, United Kingdom
Duration: 12 Sep 201313 Sep 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8247 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Workshop on Data Privacy Management, DPM 2013 and 6th International Workshop on Autonomous and Spontaneous Security, SETOP 2013
CountryUnited Kingdom
CityEgham
Period12/09/1313/09/13

ID: 32865012