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.