An Effective Model for Anonymizing Personal Location Trajectory
A S M Touhidul Hasan, Qingshan Jiang, Chengming Li, Lifei Chen · 2016
Improvement of mobile computing and sensory technology has facilitated to collect and analyze the human mobility and physiological features in a real time. In this paper, we analyze the challenges of preserving the user location privacy for location based mobile application such as health wellness initiative. To anonymize location trajectory we introduce the global locations sets, and it is a useful model to finish the anonymization process more efficiently. The proposed privacy model will effectively anonymize the user location trajectory while it is submitting for future processing and analysis. We believe that the privacy model of this paper might help the business organizations to implement location based applications such as wellness initiative and so on with ensuring more personal privacy. Experimental results show that the privacy model can effectively anonymize location trajectory and can keep the more data utility than the existing perturbation method.