Network traffic anomaly detection method and system

The invention particularly relates to a network traffic anomaly detection method and system. According to the network traffic anomaly detection method and system, different network environments are learned through a CNN model, and a chart drawing module is used for forming a chart from a learning result and storing the chart; when the network environment to be detected is accessed, the flow monitoring module automatically detects the current network environment, matches the learning result closest to the current network environment, detects the flow condition of the current network environment, and compares the detection result with the learning result, so that the detection of network flow abnormity can be realized. According to the network flow anomaly detection method and system, the current network environment can be automatically detected, the detection efficiency is improved, the detection cost is reduced, and the method and system are suitable for popularization and application. 本发明特别涉及一种网络流量异常检测方法及系统。