In the conventional wireless communication network abnormal traffic detection,the feature extraction is generally in a fixed form,so the detection efficiency is low,and the final detection result has a high false detection rate.Therefore,the research of abnormal traffic detection in wireless communication network based on improved Markov chain is proposed.According to the current detection requirements,firstly,the communication network data is collected and preprocessed,secondly,the characteristics of abnormal network traffic are extracted by multi-stage extraction,and finally,an improved Markov chain communication network abnormal traffic detection model is constructed.The test results show that the false detection rate of the method designed in this paper is low,which shows that the abnormal traffic detection method of wireless communication network is more flexible and changeable with the help of improved Markov chain,and the detection effect is significantly improved.
关键词
改进马尔科夫链/无线通信/网络异常流量检测/网络管控
Key words
improve Markov chain/wireless communication/network anomaly traffic detection/network management and control
维普
万方数据