NOVEL TECHNIQUES TO SAFEGUARD PRIVACY AND SECURITY ON MOBILE DEVICES THROUGH OPTIMAL ALGORITHMS

The rapid proliferation of smart phone technology in urban communities has enabled mobile users to utilize context aware - services on their devices. Today’s highly interconnected urban population is increasingly dependent on these gadgets to organize and plan their daily lives. They often rely on the preferred locations according to their deman ds thus lacking security. In this paper we propose algorithms which provide privacy and security to user contents and requirements. Users may not want to reveal their actual locations to a third party which are not trustworthy. We perform a thorough privac y estimation and optimization for determining an optimal meeting location for a group of users. Our solutions are based on the homomorphic properties of well - known cryptosystems