Digital Mobility Platforms and Ecosystems
Project Consortium TUM Living Lab Connected Mobility · Open Repository and Bibliography (University of Luxembourg) · 2016
In the last years, the paradigm of personal computing changed drastically, moving away from stationary PCs and heavyweight laptops to mobile devices. This change is based on the ubiquity of mobile interconnected devices leading to great opportunities for services that utilize location, such as navigation or communication with nearby friends. Location-based Services (LBS) are widely used based on a centralized architecture and absolute GPS positions. We focus on Proximity-based Services (PBS) based on peer-to-peer architecture to detect what is around us. In addition, we provide further insights about which data are potentially useful to create meaningful proximity information. Many LBS and PBS achieve their functionality without advanced privacy protection mechanisms. However, mobile data especially location data is sensitive, because adversaries can infer whereabouts of mobile users. Moreover, the uniqueness of human mobility traces is high yielding to a high identification rate of individual users. Therefore, we review the most recent literature in the domain of private proximity testing including attack models.