Secure Outsourcing of Linear Programming in Cloud Computing Environment: A Review

Cloud computing provides immense computing power with reduced cost. User can outsource their vast computational work to the cloud and use massive computational power, storage, software, network etc. Despite all these benefits there are still few obstacles in cloud computing regarding confidentiality and integrity of data. Outsourcing and computation compromises the security of data being stored on cloud computing. Considering cloud as insecure platform a system must be designed that protects data by encryption and as well as produces correct result without any cheating resilience with the help of result verification. In this paper, we study the secure outsourcing and computation of linear programming by capturing the effects of arguments which are of first order and that provides practical efficiency. To achieve efficiency linear programming conditions are implemented. The LP computation are done explicitly decomposing LP problem that are run on cloud. The parameters of LP are owned by the customer. For validating the obtained output of computation, we use duality theorem of linear programming that derives the required condition that the result must fulfil.