Network Traffic Prediction Model Based on Auto-regressive Moving Average

2014 ◽  
Vol 9 (3) ◽  
Author(s):  
Shuona XU ◽  
Biqing ZENG
Keyword(s):  
Prediction Model ◽  
Network Traffic ◽  
Moving Average ◽  
Traffic Prediction ◽  
Model Based ◽  
Auto Regressive

The Prediction Model Research for Network Traffic Based on ARMA

2014 ◽  
Vol 530-531 ◽  
pp. 760-763
Author(s):  
Zhao Ji Zhang
Keyword(s):  
Prediction Model ◽  
Network Traffic ◽  
Detection System ◽  
Moving Average ◽  
Third Party ◽  
Testing System ◽  
Network Resources ◽  
Network Intrusion ◽  
Model Research ◽  
Auto Regressive

This paper presents a new WIA-PA network intrusion detection system -- Auto Regressive and Moving Average (ARMA) network traffic prediction model. This model can predict the network traffic quickly and accurately, and because this is a third party testing system, it does not need to take network resources, the security of the WIA-PA network design is of vital importance. The simulation results show that our proposed system can effectively detect intrusion attack, improve the performance of the entire network, prolonging the life of the network.

Network Traffic Prediction Model Based on Catfish-PSO-SVM

2013 ◽  
Vol 8 (11) ◽  
Author(s):  
Jie Fang ◽  
Qingbiao Zhou ◽  
Xide Wu ◽  
Shijie Yang
Keyword(s):  
Prediction Model ◽  
Network Traffic ◽  
Traffic Prediction ◽  
Model Based
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