Crowd review and attribute-based credit computation for an access control mechanism in cloud data centers

Abstract

ABSTRACT The cloud services are very useful and demanded in an information technology industry these days. Cloud services are universally delivered with the help of the internet. Cloud services provide more flexibility than conventional service methods. It is the responsibility of cloud service providers to ensure the provisioning and scaling of resources, reliability, and security of cloud resources. The cloud services witnessed exponential growth in recent years, which created many opportunities for developers but also created many security concerns. To overcome these security and legal issues, there exist various access control mechanisms. In this paper, we review the existing access control mechanism and proposed an access control framework for a cloud computing environment. The conventional access control mechanism does not fulfill the requirement of the cloud environment. The cloud environment has the diverse set of users with different sets of security requirement. It has different security concerns, namely multi-tenant hosting, heterogeneity of users, trust among the cloud components, etc. This paper proposes the innovative approach of crowd review and attribute-based credit computation for the access control mechanism in cloud data centers. In this paper, the concept of attribute-based access control is integrated with a credit component module. The concept of crowdreviewing and reputation is used to compute the credit value of users. The simulation experiment has been shown to protect the consistent users and to restrict the access of inconsistent users in the cloud environment. It is an access control approach to mitigate the challenges in security concerns.