Efficient architecture for secure outsourcing of data and computation in hybrid cloud

Cloud computing provides people the way to share private resources and services. Since data are share between distributed resources via the network in the open environment there is always security threat. Due lack of proper security control policy and weakness in saving private data that lead to many vulnerability in cloud computing. Cloud computing is buzzword because of its performance, high availability, low cost, scalability and many others. The concept of cloud computing is to reduce the processing burden on the client by improving the ability of cloud to handle them, by using client as a simple input and output device, and bask of computations on the cloud. Existing solutions are based on hardware and pure cryptographic techniques to solve these security and access control problems suffer from heavy computational overhead. In this paper, we proposed a protocol that uses hybrid cloud architecture with highly secure DNA (Deoxyribonucleic acid) Matching. Currently there is a tremendous requirement for secure DNA Matching as researchers are working on storing large DNA string that requires large space that is not cost effective. In this proposed system Private Cloud (Eucalyptus) and Public Cloud (Amazon) communicate with each other for DNA Matching using Garbled Circuits. We aimed for a system to be efficient in terms of cost, communication, memory and matching result with other existing DNA Matching systems.