Secure optimization computation outsourcing in cloud computing a case study of linear programming

Oct 7, 20162 likes96 views

Secure optimization computation outsourcing in cloud computing a case study of linear programming '+91-9994232214,7806844441, [email protected], www.projectsieee.com, www.ieee-projects-chennai.com IEEE PROJECTS 2016-2017 ----------------------------------- Contact:+91-9994232214,+91-7806844441 Email: [email protected]

Secure Optimization Computation Outsourcing in Cloud Computing: A Case
Study of Linear Programming
Abstract:
Cloud computing enables an economically promising paradigm of computation
outsourcing. However, how to protect customers 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. Our mechanism design explicitly decomposes LP computation
outsourcing into public LP solvers running on the cloud and private LP parameters
owned by the customer. The resulting flexibility allows us to explore appropriate
security/efficiency tradeoff via higher-level abstraction of LP computation than
the general circuit representation. Specifically, by formulating private LP problem
as a set of matrices/vectors, we develop efficient privacy-preserving problem
transformation techniques, which allow customers to transform the original LP
into some random one while protecting sensitive input/output information. To
validate the computation result, we further explore the fundamental duality
theorem of LP and derive the necessary and sufficient conditions that correct
results must satisfy. Such result verification mechanism is very efficient and incurs
close-to-zero additional cost on both cloudserver and customers. Extensive
security analysis and experiment results show the immediate practicability of our
mechanism design.

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