Dynamic Privacy Management in Ubiquitous Computing Environments

Ubiquitous computing environment pursues context-aware in order words personalized service by collecting contexts through sensors located over wide area and presenting the service automatically depending not on the user´s request but on the situations that are needed. But in order to provide the personalized service, contexts collected through various sensors are needed and they include private information. Therefore, it is important to keep a balance between the convenience by presenting service and protecting private information. In this paper, we classify and grade user´s various contexts requested in ubiquitous computing environment. Based on these, we make decisions on whether to present the service or not by profile-matching between user profile and privacy requirements for providing service.