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Intrusion Detection System in Cloud Computing Environment

At present, network intrusion in the cloud environment is characterized by variability, invisibility and unpredictability, which makes network intrusion detection increasingly difficult, and traditional intrusion detection system is hard to meet the actual needs. A network intrusion detection system is proposed for cloud computing environment in this paper. C4.5 in the decision tree is used as the algorithm to build an intrusion detection model. This paper uses random forest algorithm to construct the intrusion detection model, and uses tcpdump tool and data mining technology to collect the network traffic data of different network levels of each cloud server in real time Finally the experimental results show that the system can effectively shorten the training time and test time of intrusion detection, and the detection accuracy is up to 99.71%, which achieves the effect of real-time monitoring and discovery of network intrusion behavior, and has good application value.