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IOSR Journal of Computer Engineering
Article . 2014 . Peer-reviewed
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Data storage security in Cloud

Authors: Mrs. Niyamat Ujloomwale; Mrs. Ranjana Badre;

Data storage security in Cloud

Abstract

Cloud computing is worthy of consideration and try to build business systems as a way for businesses in this way can undoubtly bring about lower costs, higher profits and more choice; for large scale industry, Data security has become the most important issue of cloud computing security. Though many solutions have been proposed, many of them only considers one side of security ;this paper proposes the cloud data security must be considered to analyze the data security risk, the data security requirements, deployment of security functions and the data security process through encryption. Distribution of file is done on cloud servers with token generation. The security architecture of the system is designed using encoding algorithms, which eliminates the fraud that occurs today with stolen data. There is no danger of any data sent within the system being intercepted, and replaced. The system is acceptably secure, but that the level of encoding has to be stepped up as computing power increases. Results in order to be secured the system the communication between modules is encoded. Since the customer does not have control over data the cloud provider should assure the customer that data is not modified. In this paper a data correctness scheme is proposed in which a cloud service provider assures the user that the data is stored in the cloud is safe. This scheme also achieves the integration of storage correctness insurance and data error localization i.e., the identification of misbehaving server(s).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Top 10%
Average
bronze
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