Designing a Fuzzy-Logic Based Trust and Reputation Model for Secure Resource Allocation in Cloud Computing

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 (TF) and Reputation Factor (RF). The TF 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 (SS) 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