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.