Network traffic technology monitoring and simulation in English online class based on machine learning algorithms

Abstract

The service behavior of the Internet uses the technology of network traffic to monitor and analyze the traffic. Most of the protective measures we know use dynamic analysis to achieve the flexibility of the network environment, and this form of traffic may be easy to be monitored and blocked. In order to make the traffic resistant to certain attacks, the article presents a new form of traffic stealth technology that uses the server to hide the dynamic traffic as the target traffic, and hides the network traffic to achieve the function of resisting risks. The traffic is transformed into an unchangeable target traffic, thereby ensuring the privacy and security of the traffic. In this mode, the university English classroom phenomenon under the network environment is the research object, and the framework of English education is established by the method of argumentation. The results show that this technical form has a good form of expression in many performances, and can turn dynamic information into a target form to hide the state. This result has a great reference value for the improvement of English teaching quality in the contemporary network environment and promotes the learning of students and the ideas of teachers.