In English

Methods for Anonymizing Patterns of Human Mobility

Martin Nordström
Göteborg : Chalmers tekniska högskola, 2012. 52 s. Rapportserie för Avdelningen för fysisk resursteori; 2012:2, 2012.
[Examensarbete på avancerad nivå]

In recent years, the ability to efficiently gather location information of individuals has gained a lot of attention in the research community. There are multiple methods for collecting this data, but this thesis primarily considers data collected from base stations connected to the mobile phones used by people today. Because many users use mobile subscriptions, the demographic data of the users can be collected as well. However, to maintain the privacy of the individual, the collected data must be anonymized. The aim of this master’s thesis is to develop a method to anonymize the data so that it is not possible to identify an individual with a robability above a certain threshold, while still preserving as much information as possible. The anonymization is mainly divided into two parts. The first part anonymizes the data containing the movement of individuals, while the second part anonymizes the demographic data. The principle of k-anonymization was applied in both parts, which means that each entry in the output of the anonymization is indistinguishable from k −1

Oracle XML Developers Kit 10.2.0.2.0 - Production

XML-25011: Error processing XSLT stylesheet: ../index.xsl
file:////usr/local/tomcat/webapps/chex/local/xsl/output/html/normal/body.xsl<Line 340, Column 84>: XML-22021: (Error) Error parsing external document: 'Förbindelse vägras'.