Privacy using mobile cloud computing

Crowdsourcing mobile applications are of increasing importance due to their suitability in providing personalized and better matching replies. Crowdsourcing location based services inherit the querying mechanism from its legacy predecessors and this is where the threat lays. In this paper we are going to prove mathematically that the mechanism with highest privacy level “Footprint” does not satisfy the privacy level needed by crowdsourced location based services and then prove that higher privacy level and lower overhead is achieved when these services are implemented in Operator centric mobile cloud architecture.