DocumentCode :
260692
Title :
Data security and privacy using data partition and centric key management in cloud
Author :
Patel, Krunal ; Sendhil Kumar, K.S. ; Singh, Navneet ; Parikh, Kushang ; Jaisankar, N.
Author_Institution :
CSE-SCSE, Vellore Inst. of Technol., Vellore, India
fYear :
2014
fDate :
27-28 Feb. 2014
Firstpage :
1
Lastpage :
5
Abstract :
The Cloud Computing is a next generation platform, which provides virtualization with resource pool. There are three types of cloud service models, Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS). Most of the scientific research focus on IaaS model, which manage virtualization and storage. IaaS allows customer to scale based on user demand and user only pays for the resource usage. Data security plays a crucial role in cloud environment and user trust is most challenging problem of cloud services. This research paper proposed new methodology that secures data and provide privacy to the customer in cloud. Our technique providing security by using data partition approach and that partitioned data will be proceed further parallel for encryption mechanism. Here privacy is given by centric key management scheme.
Keywords :
Web services; cloud computing; data privacy; private key cryptography; virtualisation; IaaS model; PaaS; SaaS model; centric key management scheme; cloud computing; cloud environment; cloud service models; data partition approach; data privacy; data security; encryption mechanism; infrastructure-as-a-service; next generation platform; platform-as-a-service; resource pool; resource usage; scientific research; software-as-a-service; storage management; user demand; user trust; virtualization management; Algorithm design and analysis; Cloud computing; Data privacy; Encryption; Partitioning algorithms; Algorithm; Cloud Computing; Encryption; Key Management; Service Models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Communication and Embedded Systems (ICICES), 2014 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4799-3835-3
Type :
conf
DOI :
10.1109/ICICES.2014.7033769
Filename :
7033769
Link To Document :
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