Data security model for Cloud Computing using V-GRT methodology

Author(s):  
M. Thamizhselvan ◽  
R. Raghuraman ◽  
S. Gershon Manoj ◽  
P. Victer Paul
Author(s):  
Howard Hamilton ◽  
Hadi Alasti

Data security in the cloud continues to be a huge concern. The adoption of cloud services continues to increase with more businesses transitioning from on premise technology infrastructures to outsourcing cloud-based infrastructures. As the cloud becomes more popular, users are increasingly demanding control over critical security elements of the data and technology assets that are in the cloud. In addition, there are still cries for greater data and security in the cloud. The goal of this paper is to provide cloud service users with greater control over data security in the cloud while at the same time optimizing overall security in the multi-tenant cloud computing environment. This paper introduces cloud-based intelligent agents that are configurable by the users and are expected to give greater compliance for data security in any of the cloud service models.


2018 ◽  
Vol 19 (4) ◽  
pp. 351-360
Author(s):  
Prabu S ◽  
Gpinath Ganapathy ◽  
Ranjan Goyal

Cloud computing is an evolving computing technology that provides many services such as software and storage. With the introduction of cloud storage, the security of outsourced data has become a major issue in cloud computing. Data storage in cloud computing environment needs to be secured in order to provide a safe and foolproof security for data outsourcing of the cloud service users. This paper presents a model for security of data in public cloud storage environment which successfully detects the unauthenticated access or any anomaly in the data. The proposed authentication model along with the data security model presented in this paper shows that this model is the best model suitable for securing the data in cloud computing environment


2018 ◽  
pp. 471-484
Author(s):  
Howard Hamilton ◽  
Hadi Alasti

Data security in the cloud continues to be a huge concern. The adoption of cloud services continues to increase with more businesses transitioning from on premise technology infrastructures to outsourcing cloud-based infrastructures. As the cloud becomes more popular, users are increasingly demanding control over critical security elements of the data and technology assets that are in the cloud. In addition, there are still cries for greater data and security in the cloud. The goal of this paper is to provide cloud service users with greater control over data security in the cloud while at the same time optimizing overall security in the multi-tenant cloud computing environment. This paper introduces cloud-based intelligent agents that are configurable by the users and are expected to give greater compliance for data security in any of the cloud service models.


2013 ◽  
Vol 846-847 ◽  
pp. 1600-1603
Author(s):  
Ao Qiu Pei ◽  
Min Yang ◽  
Yan Bin Tang

Cloud computing based on a large number of distributed computer gathers a wide variety of computing resources data and builds huge virtual resources space and provides information technology resources for the majority of computer users through the Internet. Security issues is one of the core elements which constrains the depth development of cloud computing. It also is the hot issue of research in this field. This paper first analyzes the architecture and threat signatures of cloud computing system and data application model based on the data of cloud computing and data security threat characteristics. It builds a data security implementation model under cloud computing. Based on this, it builds information security model of cloud computing strategy and analyzes configuration program of the model in the cloud computing.


2019 ◽  
Vol 8 (2) ◽  
pp. 3405-3412 ◽  

Mobile Cloud computing is define as the new paradigm, and in this new paradigm computational power is on demand service and accessible through mobiles and tablets. When user decides to go towards cloud computing, there is a risk of losing control on his own data. So providing security of the data during transmission and when saved on the cloud storage is a major issue. Any application relying upon an emerging technology should consider the different possible threats. The principal reason why people are afraid of using Cloud technology is that data security and integrity among all other issues involved in Cloud technology constitute a great challenge. As data security issues, access control as well as key management are also a reason why Cloud technology is not widely adopted. In mobile cloud computing, the security related to data involving data integrity, confidentiality, availability and traceability is the most critical concern of cloud users. As now mobile cloud is changing how users used to work over the network, by helping them in terms of cost and reduction of tasks complexity. Hence, it is very important for the user to be ensured that the transmission of the data is secure, that the consistency as well as the storage of the data on the cloud provider side is secured. Hence the necessity for developing trust security model is demanding.


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.


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