A Protected and Private Opportunistic Computing System for Mobile-healthcare Emergency

With widespread of smart phones and the progress of wireless Body Sensor Networks(BSNs),mobile healthcare (m-Healthcare) is used for better health monitoring and is seeking a lot of attention towards it. But mHealthcare still faces some problems like information security and preservation of private data. With the help of this we propose a protected and private opportunistic computing system. Therefore with the help of this, different smart phone resources such as energy and computing power can be opportunistically collected for the processing of intensive Personal Health Information (PHI) during m-Healthcare emergency with least possible privacy access control and a technique called Privacy-Preserving Scalar Product Computation (PPSPC) which allows a medical user to think who can participate in opportunistic computing to help in the processing of very large PHI data. The proposed framework in m-Healthcare emergency can effectively and easily gain usercentric privacy control with the help of detailed security analysis. Through extensive simulations, performance evaluation demonstrate the system’s effectiveness by providing highly trusted PHI process and transmission during-Healthcare emergency while minimizing the privacy disclosure.