Quantizing Personal Privacy in Ubiquitous Computing
Privacy is one of the most important and difficult research issues in ubiquitous computing. It is qualitative rather than quantitative. Privacy preserving mainly relies on policy based rules of the system, and users cannot adjust their privacy disclosure rules dynamically based on their wishes. To make users understand and control their privacy measurement, the authors present a scheme to quantize the personal privacy. They aim to configure the person's privacy based on the numerical privacy level which can be dynamically adjusted. Instead of using the traditional simple rule engine, they implement this scheme in a complex way. In addition, they design the scenario to explain the implementation of their scheme.