The Analysis On Network Abnormal Traffic Behavior Of Mobile Terminal

In modern life,people can't live well without mobile terminals like mobile phone.This paper mainly analyzes online data of mobile terminal in the wireless network environment.It is actually to monitor network traffic caused by mobile terminal,so as to ensure network security.For network management,abnormal state can be found promptly;users'behaviors like bad operations or leak behaviors can be monitored timely.For users,abnormal conditions can be found and hence judge whether trojan programs or virus exist in mobile terminal or not.This paper's main contents and experiment results are as follows:(1)The application of industrial control computer and Fedora system can help improve stability and security of wireless network broadcasting environment.Through the system application can effectively manage the state of wireless network and set reasonably the wireless network equipment parameter settings;information and state of mobile terminal to connect network can be accessed in real time.(2)Wireless network traffic monitoring system based on mobile terminal can be realized.It can have access to traffic information of mobile terminal by wireless network operations in real time,visualize data and classify the abnormal traffic.It can also help staff manage wireless network effectively and such as port filtering for traffic and black and white list settings,and so on.(3)Apply Naive Bayes Classifier to trains traffic data from mobile terminal network traffic monitoring system.Its principle is to extract characteristic attribute needed when modeling,and then divide it to establish Naive Bayes Classifier,so as to make Classifier applied in system to classify the traffic data.(4)This paper makes a comparison experiment on Naive Bayesian Classifier with ID3 and C4.5 on effects and accuracy of traffic classification,according to the wireless network traffic monitoring system based on mobile terminal.It is indicated that Naive Bayesian Classifier has higher accuracy of traffic classification results and classifier is more stable.So Naive Bayes Classifier can effectively help the traffic monitoring system to classify reasonably the traffic data.