Abstract: Cloud computing has the nature of  being dynamic, virtual and open since it was used, and all kinds of largescale cloud security incidents make the safety of cloud environments frequently questioned. To ensure the security of cloud environments, it proposed an intrusion prevention framework model, based on trusted computing in cloud environments, by combining intrusion prevention technologies and trusted computing ideas. The model began with the principle of intrusion prevention with access to behavioral characteristics. Then, these features were gradually normalized, and the weight of each feature was determined to obtain user nodes' credibility. Next, it used a variety of cloud cluster server engines to detect defense and make integrated decision analysis and cluster analysis, enabling the cloud to make timely fast intrusion prevention, which avoids the drawbacks of the traditional intrusion prevention, such as minding only their own business, lagging behind in detecting and preventing attacks. The model provides cloud users with the maximum intrusion prevention services, and ensures that the cloud can withstand attacks, making the cloud and cloud users secure.

Key words: intrusion prevention, cloud computing, trust theory