Title :
A distributed privacy-preserving mechanism for mobile urban sensing applications
Author :
Christin, Delphine ; Bub, Daniel M. ; Moerov, Andrey ; Kasem-Madani, Saffija
Author_Institution :
Comput. Sci. IV, Univ. of Bonn, Bonn, Germany
Abstract :
In urban sensing applications, participants carry mobile devices that collect sensor readings annotated with spatiotemporal information. However, such annotations put the participants´ privacy at stake, as they can reveal their whereabouts and habits to the urban sensing campaign administrators. A solution to protect the participants´ privacy is to apply the concept of k-anonymity. In this approach, the reported participants´ locations are modified such that at least k - 1 other participants appear to share the same location, and hence become indistinguishable from each other. In existing implementations of k-anonymity, the participants need to reveal their precise locations to either a third party or other participants in order to find k - 1 other participants. As a result, the participants´ location privacy may still be endangered in case of ill-intentioned third-party administrators and/or participants. We tackle this challenge by proposing a novel approach that supports the participants in their search for other participants without disclosing their exact locations to any other parties. To evaluate our approach, we conduct a threat analysis and study its feasibility by means of extensive simulations using a real-world dataset.
Keywords :
mobile handsets; sensors; distributed privacy-preserving mechanism; k-anonymity; mobile urban sensing applications; real-world dataset; threat analysis;
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2015 IEEE Tenth International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4799-8054-3
DOI :
10.1109/ISSNIP.2015.7106932