Research on Abnormal Traffic Detection of Wireless Communication Network Based on Improved Markov Chain
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.
improve Markov chainwireless communicationnetwork anomaly traffic detectionnetwork management and control
万方数据
维普
