A Secured Cloud Computing Mechanism for Enhancing Mutual Trust Access Control

Abstract

The development of the Cloud system, large number of vendors can visit their users in the same platform directing their focus on
the software rather than the underlying framework. This necessity requires the distribution, storage and analysis of the data on
cloud for accessing virtualized and scalable web services. With broad applications of cloud, the data security and access control
becomes a major concern. The access to the cloud requires authorization as well as data accessibility permissions. The
verification and updation of data must be done with proper knowledge which requires identification of the correct updates and
blacklisted users who are intruder to cloud introducing the false data to the system.
In this thesis work, It address the issue of the security and control mechanism in the cloud, It propose an approach which
encompasses the Ant Colony Optimization for solving the specified issues having the k-means clustering for authenticating the
system with the updates done by the various authorized users in the cloud. This approach builds a mutual trust relationship
between users and cloud for accessing control method in cloud computing environment focusing on the system integrity and its
security.