10-05-2012, 09:30 PM
i need secure and practical outsourcing of linear programming in cloud computing projject.
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10-05-2012, 09:30 PM
i need secure and practical outsourcing of linear programming in cloud computing projject. please forward to my mail id
11-05-2012, 10:16 AM
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21-06-2012, 01:42 PM
Secure and Practical Outsourcing of Linear Programming in Cloud Computing
Secure and Practical Outsourcing of Linear Programming.docx (Size: 146.54 KB / Downloads: 42) INTRODUCTION Cloud Computing provides convenient on-demand network access to a shared pool of configurable computing resources that can be rapidly deployed with great efficiency and minimal management overhead. One fundamental advantage of the cloud paradigm is computation outsourcing, where the computational power of cloud customers is no longer limited by their resource-constraint devices. By outsourcing the workloads into the cloud, customers could enjoy the literally unlimited computing resources in a pay-per-use manner without committing any large capital outlays in the purchase of both hardware and software and/or the operational overhead therein. PROBLEM STATEMENT A problem statement should describe the problem, describe its causes, and identify potential approaches or solutions to the problem through the use of literature reviews. In program evaluation, inclusion of a problem statement as part of the model provides an opportunity for the importance of a program to be conveyed. A detailed description of the problem and who is affected can provide a baseline for comparison purposes and a greater understanding of who has benefited from program services. System and Threat Model The security threats faced by the computation model primarily come from the malicious behavior of CS. We assume that the CS may behave beyond “honest-but-curious”, i.e. the semi-honest model that was assumed by many previous researches. The CS may be persistently interested in analyzing the encrypted input sent by the customer and the encrypted output produced by the computation to learn the sensitive information as in the semi-honest model. In addition, CS can also behave unfaithfully or intentionally sabotage the computation. Background on Linear Programming An optimization problem is usually formulated as a mathematical programming problem that seeks the values for a set of decision variables to minimize (or maximize) an objective function representing the cost subject to a set of constraints. For linear programming, the objective function is an affine function of the decision variables, and the constraints are a system of linear equations and inequalities. Since a constraint in the form of a linear inequality can be expressed as a linear equation by introducing a non-negative slack variable, and a free decision variable can be expressed as the difference of two non-negative auxiliary variables, any linear programming problem can be expressed in the following standard form. PROPOSED SCHEMES This section presents our LP outsourcing scheme which provides a complete outsourcing solution for - not only the privacy protection of problem input/output, but also its efficient result checking. We start from an overview of secure LP outsourcing design framework and discuss a few basic techniques and their demerits, which leads to a stronger problem transformation design utilizing affine mapping. We then discuss effective result verification by leveraging the duality property of LP. Finally, we give the full scheme description.
06-08-2012, 01:51 PM
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07-08-2012, 12:08 PM
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