Trust is one of the most concerned obstacles for the adoption and growth of cloud computing. Although several solutions have been proposed recently in managing trust feedbacks in cloud environments, how to determine the credibility of trust feedbacks is mostly neglected. In addition, managing trust feedbacks in cloud environments is a difficult problem due to unpredictable number of cloud service consumers and highly dynamic nature of cloud environments. In the existing system, several researchers have recognized the significance of trust management and proposed solutions to assess and manage trust based on feedbacks collected from participants. It is not unusual that a cloud service experiences malicious behaviors from its users. In this project the system proposed a CloudArmor, a reputation-based trust management framework that provides a set of functionalities to deliver Trust as a Service (TaaS). The “Trust as a Service” (TaaS) framework to improve ways on trust management in cloud environments. In particular, the system introduce an adaptive credibility model that distinguishes between credible trust feedbacks and malicious feedbacks by considering cloud service consumers’ capability and majority consensus of their feedbacks. The approaches have been validated by the prototype system and experimental results. The system also exploits a Web crawling approach for automatic cloud services discovery, where cloud services are automatically discovered on the Internet and stored in a cloud services repository. In the proposed CloudArmor, the system propose to exploit replication techniques to minimize the possibility of the crashing of a node hosting a TMS instance to ensure that users can give trust feedbacks or request a trust assessment for cloud services.