Location Privacy Preserving of Mobile Users using Secured Homomorphism

In today's highly interconnected world users are increasingly dependent on high end smartphones and mobile devices. Users arrange and plan their daily routines using such high end devices. These applications often rely on current locations of individual users or a group of users to provide the desired service. By means of such applications and services, majority of such user population reveal their current location details to the third party service providers. Knowingly or unknowingly mobile users compromise their privacy. Without efficient protection, even sharing location information has been shown to provide reliable information about a users' private globe, which could have severe consequences on the users' personal, social, and financial life Users, who are cautious about their whereabouts, do not necessarily want to reveal their current locations to the service provider or to untrusted users. This paper, proposes algorithms for location privacy preserving of mobile users. This is to provide practical privacy-preserving techniques to solve this problem, such that neither an untrusted user, nor participating users, can learn other users' locations, legitimate users only learn the optimal location.