Design And Implementation On Privacy Protected Intelligent Calendar

This paper focuses on intelligent service provided by context-aware computing and corresponding privacy protected solutions. The main practical goal of this thesis is to design and implement so-called "intelligent calendar" to help arrange people's schedule smartly and try to preserve the privacy information at the same time. Nowadays, more and more users'personal data, here refer to context information, has brought a great deal of opportunities for researchers to investigate. The complete solution in paper is showing that with assistant of the schedule on the electronic calendar and personal location information, the context-aware calendar has make this goal achievable and even in the smart way. At the same time, when the context-aware application is moving from research area into real deployment, it brings new challenge to privacy issues. Another target of the paper is to investigate and do some research on designing a privacy preserved framework solutions in context-aware application. Several exiting standardized related principles to the privacy challenge have give the perspective. This paper is showing that several proposals together are complete guidelines to design a privacy preserved context-aware application. In this paper, with guidance of these recommendations, the framework was analyzed and designed in all-around way, and several corresponding solutions, such as context-aware role based access control model and location anonymity, were also implemented.