Designing a Fuzzy-Logic Based Trust
and Reputation Model for Secure Resource Allocation in Cloud Computing
Kamalanathan Chandran, Valarmathy Shanmugasudaram and Kirubakaran
Subramani
Department of Electronics and Communication Engineering, Bannari Amman
Institute of Technology,
India
Abstract: To plan and improve a fuzzy logic and neural network based trust
and reputation model for safe resource allocation in cloud computing is the most
important motto of this research. Among the IT professionals in current scenario,
the cloud computing is one of the main topics conversed. Now, to revise the
security, we employ the trust manager and reputation manager in our proposed
approach. At first, the user access a resource block through the scheduling
manager and a structure will send to the user following accessing the resource
block to fill the characteristic values of trust factor and reputation factor.
The trust factor and reputation value is after that computed for the resource
center and it is specified to the fuzzy logic system and neural network to obtain
the security score of a resource center. To offer the security controls is the advantage
of our suggested method in accessing the cloud resources from cloud computing owing
to different security issues occurred in networks, databases, resource
scheduling, transaction management and load balancing.
Keywords: Trust factor, reputation factor, fuzzy logic
system, security score, resource center.
Received May 25, 2013; accepted June 19, 2013