A REVIEW ON ENHANCED SECURITY FOR THE MIDPOINT MEETING LOCATION USING MOBILE DEVICES

Abstract

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 demands 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 privacy estimation and optimization for determining the midpoint meeting location for a group of users. Our solutions are based on the homomorphic properties of well-known cryptosystems. This paper present the haversine algorithm use for the finding midpoint meeting location of various user this place will be in same distance from all the participated entities. For security purpose it uses Advanced Encryption Standard(AES) which is specification for the encryption of electronic data.