5G通信网络带宽流量异常自动预警方法

5G Bandwidth Traffic Abnormal Communicationnetwork Automatic Warning Method

为提升网络带宽流量异常的检出效果,提出5G通信网络带宽流量异常自动预警方法,通过对流量数据表征信息进行抽取与归一化处理,有效挖掘异常数据,提升检测准确性。该方法能自动检测流量异常并设计预警模式,实验证明其异常检出率高,具有显著优势。

To improve the detection effect of network bandwidth traffic anomalies,a 5G com-munication network bandwidth traffic anomaly automatic warning method is proposed.By cx-tracting and normalizing the characterization information of traffic data,abnormal data is effec-tively mined and detction accuracy is improved.This method can automatically detcct traffic a-nomalies and design warning modes.Experiments have shown that its anomaly detection rate is high and it has significant advantages.