An index-based privacy preserving service trigger in context-aware computing environments

In a context-aware environment, privacy concerns of a user should be certainly considered in order to raise service receptiveness. The requirement for providing suitable privacy preserving service after forecast of privacy concern is increasing. An especially important factor is to provide a privacy protection level which is suitable to the privacy concern level of the user, rather than increasing the privacy protection level unconditionally. For this reason, it is necessary for each service provider to obtain the current privacy concern of the user so as to optimize the privacy preserving level. Existing measurements of privacy concern are carried out through a sample survey form that is composed of uncertain pre-forecast and untimely post-analysis. So, accurately measuring the privacy concern in a personalized manner is limited. This study is aimed at recognizing user regarding privacy concern, and then proposing measures for the service provider to supply a service which has a proper level of privacy preservation, based on the recognized results. For this purpose, this study developed a method of forecasting the privacy concern based on an index model of privacy concern and also an approach method of triggering the privacy preserving service.