16-02-2012, 11:07 PM
i want the ppt of secure andout sourcing of linear programing in cloud computing
16-02-2012, 11:07 PM
i want the ppt of secure andout sourcing of linear programing in cloud computing
20-02-2012, 11:34 AM
secure and practical outsourcing of linear programming in cloud computing
11-05-2012, 10:16 AM
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23-06-2012, 06:01 PM
Secure and Practical Outsourcing of Linear Programming in Cloud Computing
Secure and Practical Outsourcing of Linear Programming.pdf (Size: 471.18 KB / Downloads: 111) 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
Secure and Practical Outsourcing of Linear Programming in Cloud Computing
Base paper.pdf (Size: 471.18 KB / Downloads: 116) 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
Secure and Practical Outsourcing of LinearProgramming in Cloud Computing
Secure and Practical.ppt (Size: 3.75 MB / Downloads: 63) 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
SECURE AND PRACTICAL OUTSOURCING OF LINEAR PROGRAMMING IN CLOUD COMPUTING ABSTRACT SECURE AND PRACTICAL.doc (Size: 25 KB / Downloads: 36) 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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