Research on CC-DDoS Network Attack Warning Model based on Xgboost Algorithm

• 1、Unicom Wuhan Branch Industrial Internet Operation Center
• 2、Unicom Wuhan Branch Network Operation Department

Abstract：With the coming of "5G+" mobile Internet era, the security of websites based on the cloud of government and enterprise is becoming more and more important. Aiming at the problem of early warning modeling of CC-DDoS network attack, firstly, from the perspective of enterprise operation, the value function of early warning model of network attack is derived, and the measurement formula of model validity is given; secondly, based on the historical data of an education website on the cloud, the training data set and test data set are constructed; thirdly, based on Xgboost algorithm and the training data set; the network attack warning model is constructed; finally, combining the early warning model with the value function. the effectiveness of the model on the test data set is given. The test results show that the early warning model proposed in this paper can effectively reduce the value loss causeResearch on CC-DDoS Network Attack Warning Model based on Xgboost Algorithmd by network attacks, and has a certain significance of promotion.

Keywords： Xgboost, abnormal network traffic, CC network attack, DDoS network attack