Data Security Model Enhancement In Cloud Environment

2013 ◽  
Vol 10 (2) ◽  
pp. 1-6
Author(s):  
Navia Jose Navia Jose
2013 ◽  
Vol 765-767 ◽  
pp. 1267-1270 ◽  
Author(s):  
Xiang Li ◽  
Zi Fan Liu ◽  
Wen Bing Liu ◽  
An Xu ◽  
Ling Ma

With the cloud computing time arrival, spatial data storage and management technology based on cloud computing are getting more extensive attention and application. But under the cloud environment, how to ensure that the data stored in the cloud security will be a serious challenge. This paper introduces the meaning characteristics and development present situation of cloud computing, and gives the analysis about the advantage of using cloud computing technology to spatial data management. The paper puts forward a spatial data security management model under the cloud environment, and summarizes the key security technologies of the spatial data storage and management.


2019 ◽  
Vol 8 (2) ◽  
pp. 5972-5975

Data security is a one of the challenging issue in present scenario. In that one of the on demand service is cloud computing and it provides so many services for end users and also it provides a dynamic environment for end user to provide quality of services on data it leads to improve in the confidentiality of the data. The proposed work presents a new cloud data security model with the help of Artificial Neural Network. It improves the confidentiality and security in cloud environment. This proposed algorithm is implemented using dynamic hashing fragmented component. It is implemented for storing fragmented sensitive secret data. The neural network cryptographic proposed algorithm is used for data to deal with encryption process for secret and improve the confidentiality. This algorithm applied for various number of cloud databases and it shows high confidentiality on data security.


2020 ◽  
Author(s):  
Jeevitha B K ◽  
Sindhura D ◽  
Thriveni J. ◽  
Venugopal K R

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