基于改进马尔科夫链的无线通信网络异常流量检测研究

Research on Abnormal Traffic Detection of Wireless Communication Network Based on Improved Markov Chain

常规的无线通信网络异常流量检测中,特征提取一般为固定形式,检测效率较低,且最终得出的检测结果误检率较高。因此,提出基于改进马尔科夫链的无线通信网络异常流量检测研究。根据当前检测需求,首先进行通信网络数据的采集和预处理,其次采用多阶提取方式提取网络异常流量特征,最后在此基础上构建改进马尔科夫链通信网络异常流量检测模型。测试结果表明,文章所设计方法的误检率较低,说明在改进马尔科夫链的辅助下,此无线通信网络异常流量检测方法更加灵活、多变,显著提升了检测效果。

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.