This next generation of computing holds enormous potential to stimulate economic growth and enable governments to reduce costs, increase transparency and expand services to citizens. However, how to protect customer's confidential data processed and generated during the computation is becoming the major security concern. Focusing on engineering computing and optimization tasks, this paper investigates secure outsourcing of widely applicable Linear Programming (LP) computations. To battle against unauthorized information leakage has to be encrypted before outsourcing. So as to provide end to-end data confidentiality assurance in the cloud and beyond.