A Framework of Evaluation Location Privacy in Mobile Network
Chao Lee, Yunchuan Guo, Lihua Yin · Procedia Computer Science · 2013
In modern mobile networks, people increasingly tend to use location-based services, which would share their location information with third-party servers. Such communications leaking users’ location information may be observed by adversaries, and then user's individual privacy may be threatened. To solve the problem, researchers have proposed various location privacy preserving methods. The goal of this paper is to build a common model to describe the location privacy protecting mechanism and show how to evaluate the location privacy in our framework. In this paper, we present a framework to model location privacy preserving mechanism, and abstract the properties characterizing the effectiveness of these approaches. We give an adversary model to reconstruct the actual trace through observation and initial knowledge. We give a method to quantify location privacy by comparing the difference between initial uncertainty and remaining uncertainty of suspected trace before and after adversary's attack.