It is necessary to carry out the research work of the data center cloud computing and virtualization of network security technology

to strengthen the information security capabilities of cloud computing environment

to prevent data centers being attacked by hackers

data theft and other risks. In this paper

we study the anomaly traffic detection technology and cloud computing technology

and propose a data classification algorithm based on cloud computing technology. The system is based on Hadoop technology

which is based on the unsupervised fuzzy K-means classification algorithm and Naive Bayesian’s supervised classification algorithm. Then the two classifiers are used to detect the data center.