Абстрактный

Meeting Scheduler Using GPS and G-API on Android Devices

Pritam Kumar Tripathy, Ratnesh Kumar, Dr. C. Nalini

Now-A-Days the extremely interlinked urban population is precisely dependent on smart phones and mobile devices. The applications people use often rely on current locations of individual smartphone holders or a group of persons to provide location related mobile applications , which handers their privacy. Users are not supposed to reveal their exact (or preferred) locations to the service provider or to any other, possibly un trusted ,entity holders . In this paper, we propose privacy -preserving algorithms for accomplishing an optimal meeting location application for a group of users. We render a detailed privacy evaluation by formally quantifying privacy-hazard of the proposed approaches. In order to examine the enactment of our algorithms in a real disposition, we contrivance and test their execution efficiency on smart phones. By means of a targeted user-study, we endeavor to get an insight into the privacy-consciousness of users in location based amenities and the usability for the proposed. We propose a method for searching the location according to the user location. The location can be determined by GPS (Global positioning system). Position of current user can be realized as latitude and longitude entities. In our project if user download and update the location info from the server and use it in the corresponding application.