基于改进特征选择法的移动通信网络流量异常监测系统

Mobile Communication Network Traffic Anomaly Monitoring System Based on Improved Feature Selection Method

由于传统系统受到网络时延和信号干扰的影响,导致系统监测效果较差,提出了基于改进特征选择法的移动通信网络流量异常监测系统.利用报警装置对异常数据进行警示,并通过显示模块显示监测结果,解析全部网络流量特征.根据特征选择流程,获取网络流量异常特征,实现对异常网络流量的实时监测.提取异常流量并展开分析,采用改进特征选择法对异常流量进行选择,由此实现移动通信网络流量异常监测系统的设计.实验结果显示,该系统最高监测准确率可达88%,保证移动通信网络能在安全稳定条件下运行.

Because the traditional system is affected by network delay and signal interference,the system monitoring effect is poor.In this study,the mobile communication network traffic anomaly monitoring system based on the improved feature selection method is proposed.The alarm device is used to warn the abnormal data,and the monitoring results are displayed by the display module to analyze the characteristics of all network traffic.According to the feature selection process,the abnormal characteristics of network traffic are acquired to realize the real-time monitoring of abnormal network traffic.The anomalous traffic is extracted and analyzed,and the improved feature selection method is used to select the anomalous traffic,thus the design of anomalous traffic monitoring system for mobile communication network is realized.Experimental results show that the highest monitoring accuracy of the system can reach 88%,ensuring that the mobile communication network can operate under safe and stable conditions.