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
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