Proposed Model for Privacy Preserving in Mobile Cloud Computing

Marjan Soltani¹ , Gholamreza Shahmohammadi²

Section:Research Paper, Product Type: Isroset-Journal
Vol.3 , Issue.6 , pp.1-10, Dec-2015

Online published on Jan 02, 2015

Copyright © Marjan Soltani, Gholamreza Shahmohammadi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Today one of the issues involved in cloud computing is the authenticity of the outsourced calculations that are delivered by cloud service providers. Moreover, controlling the penetration of the invaders in this system has a great importance. Regarding the ceaseless growing of information, protection of them in the mobile cloud environment has become more difficult. So it is necessary to use the methods such as data mining to extract knowledge and the hidden information in data and to save them. The aim of this study is to present a security architecture to keep privacy in mobile cloud computing. In this study we proposed a framework for preserving the security of the clouds' data using the data mining techniques. Then by extracting useful rules available on exchanged data on cloud environment, a useful information resource is provided for system manager to secure data and reduce the computational overhead. Various methods such as parallel executing of algorithms' associative rules extraction are used for reducing computation of cost and improving process of associative rules extraction.

Key-Words / Index Term :
Cloud Computing, Security Architecture, Privacy

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