Quantifying privacy in terms of entropy for context aware services

Abstract

In this paper, we address the issue of privacy protection in context aware services, through the use of entropy as a means of measuring the capability of locating a user’s whereabouts and identifying personal selections. We present a framework for calculating levels of abstraction in location and personal preferences reporting in queries to a context aware services server. Finally, we propose a methodology for determining the levels of abstraction in location and preferences that should be applied in user data reporting during service provision, according to her personal privacy settings.