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16-02-2012, 11:07 PM
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Video ppt secure and practical outsourcing of linear programming in cloud computing
i want the ppt of secure andout sourcing of linear programing in cloud computing
20-02-2012, 11:34 AM
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RE: ppt secure and practical outsourcing of linear programming in cloud computing
secure and practical outsourcing of linear programming in cloud computing
11-05-2012, 10:16 AM
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RE: ppt secure and practical outsourcing of linear programming in cloud computing
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23-06-2012, 06:01 PM
Post: #4
RE: ppt secure and practical outsourcing of linear programming in cloud computing
Secure and Practical Outsourcing of Linear Programming in Cloud Computing


.pdf  Secure and Practical Outsourcing of Linear Programming.pdf (Size: 471.18 KB / Downloads: 83)
Abstract

Cloud computing enables customers with limited
computational resources to outsource large-scale computational
tasks to the cloud, where massive computational power can be
easily utilized in a pay-per-use manner. However, security is the
major concern that prevents the wide adoption of computation
outsourcing in the cloud, especially when end-user’s confidential
data are processed and produced during the computation. Thus,
secure outsourcing mechanisms are in great need to not only
protect sensitive information by enabling computations with
encrypted data, but also protect customers from malicious behaviors
by validating the computation result.

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 [1]. 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.

Experiment Results

We now assess the practical efficiency of the proposed
secure and verifiable LP outsourcing scheme with experiments.
We implement the proposed mechanism including both the
customer and the cloud side processes in Matlab and utilize
the MOSEK optimization [20] through its Matlab interface to
826
solve the original LP problem Φ and encrypted LP problem
Φ
28-07-2012, 10:45 AM
Post: #5
RE: ppt secure and practical outsourcing of linear programming in cloud computing
Secure and Practical Outsourcing of Linear Programming in Cloud Computing

.pdf  Base paper.pdf (Size: 471.18 KB / Downloads: 93)
Abstract

Cloud computing enables customers with limited
computational resources to outsource large-scale computational
tasks to the cloud, where massive computational power can be
easily utilized in a pay-per-use manner. However, security is the
major concern that prevents the wide adoption of computation
outsourcing in the cloud, especially when end-user’s confidential
data are processed and produced during the computation. Thus,
secure outsourcing mechanisms are in great need to not only
protect sensitive information by enabling computations with
encrypted data, but also protect customers from malicious behaviors
by validating the computation result. Such a mechanism of
general secure computation outsourcing was recently shown to be
feasible in theory, but to design mechanisms that are practically
efficient remains a very challenging problem.

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 [1]. 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

System and Threat Model

We consider a computation outsourcing architecture involving
two different entities, as illustrated in Fig. 1: the
cloud customer, who has large amount of computationally
expensive LP problems to be outsourced to the cloud; the cloud
server (CS), which has significant computation resources and
provides utility computing services, such as hosting the public
LP solvers in a pay-per-use manner.
The customer has a large-scale linear programming problem
Φ (to be formally defined later) to be solved. However, due
to the lack of computing resources, like processing power,
memory, and storage etc., he cannot carry out such expensive
computation locally. Thus, the customer resorts to CS for
solving the LP computation and leverages its computation
capacity in a pay-per-use manner. Instead of directly sending
original problem Φ, the customer first uses a secret
19-09-2012, 04:30 PM
Post: #6
RE: ppt secure and practical outsourcing of linear programming in cloud computing
Secure and Practical Outsourcing of Linear Programming in Cloud Computing


.ppt  Secure and Practical.ppt (Size: 3.75 MB / Downloads: 54)

INTRODUCTION

Cloud computing is a general term for anything that involves delivering services over the internet.
These services are broadly divided into 3 categories: Infrastructure-as-a-Service, Platform-as-a-Service and Software-as-a-Service.
The customer outsource the computational work to the cloud.

ABSTRACT

Outsourcing to cloud has great potential of providing robust computational power to the society at reduced cost.
Although there are tremendous benefits, there is less security.
To combat against unauthorized information, sensitive data have to be encrypted before outsourcing

EXISTING SYSTEM

The outsourced computation workloads often contains secured information.
Due to software bugs, hardware failures, or even outsider attacks might also affect the quality of the computed results.
Thus, the cloud is not secure from the customer’s viewpoint.
Without providing a mechanism for secure computation outsourcing and to validate the integrity of the computation result, it would be hard to the customer’s economic saving and resource flexibility.

PROPOSED WORK

The outsourced information often contains sensitive information.
To protect against unauthorized access, data have to be encrypted before outsourcing.
Thus it provides end-to-end data confidentiality assurance in the cloud.

MODULE DESCRIPTION

The process on the cloud server can be represented by Proof Generation algorithm and the process on the customer can be organized into three algorithms (Key Generation, Encryption, Result Decryption).
Key Generation: The key is randomly generated, which is used to generate the secret key.
Encryption: Here the input data are encrypted with the secret key. The input of this modules are text data, image, file.
Proof Generation: The problem/encrypted data is solved and produce both the output and the proof. The output is used to decrypt and the proof is used by the customer to verify the correctness of the output.
Result Decryption: The data are decrypted and the output is verified using the proof.

CONCLUSION

The problem of securely outsourcing LP computations in cloud computing has been formalized and provide practical design which fulfills input/output privacy and efficiency.
Also investigated linear programming and derive a set of necessary and sufficient condition for result verification.
Security analysis and experiment results demonstrate the immediate practicality of the proposed mechanism.
07-05-2013, 04:46 PM
Post: #7
RE: ppt secure and practical outsourcing of linear programming in cloud computing
SECURE AND PRACTICAL OUTSOURCING OF LINEAR PROGRAMMING IN CLOUD COMPUTING ABSTRACT



.doc  SECURE AND PRACTICAL.doc (Size: 25 KB / Downloads: 30)

ABSTRACT

Cloud Computing has great potential of providing robust computational power to the society at reduced cost. It enables customers with limited computational resources to outsource their large computation workloads to the cloud, and economically enjoy the massive computational power, bandwidth, storage, and even appropriate software that can be shared in a pay-per-use manner. Despite the tremendous benefits, security is the primary obstacle that prevents the wide adoption of this promising computing model, especially for customers when their confidential data are consumed and produced during the computation.
On the one hand, the outsourced computation workloads often contain sensitive information, such as the business financial records, proprietary research data, or personally identifiable health information etc. To combat against unauthorized information leakage, sensitive data have to be encrypted before outsourcing so as to provide end to- end data confidentiality assurance in the cloud and beyond. However, ordinary data encryption techniques in essence prevent cloud from performing any meaningful operation of the underlying plaintext data, making the computation over encrypted data a very hard problem. On the other hand, the operational details inside the cloud are not transparent enough to customers. As a result, there do exist various motivations for cloud server to behave unfaithfully and to return incorrect results, i.e., they may behave beyond the classical semi honest mode.
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