Network traffic detection is a key step to identify potential malicious activities in the network environment.Efficient identification of abnormal traffic from massive network traffic data is the core of network security research.It is crucial for ensuring network security and optimizing network operation and maintenance.The study proposes a network traffic anomaly detection model based on big data analysis technology.Through big data analysis technology,we can effectively solve the problems caused by dynamic changes in network traffic,significantly improve the accuracy of anomaly detection,effectively reduce the false positive rate,and provide a new solution for network security maintenance.
关键词
大数据应用/异常检测/网络流量/网络安全
Key words
Big data application/Anomaly detection/Network traffic/Network security
维普
万方数据