DocumentCode
523335
Title
A prediction model for network traffic anomaly detection
Author
Yong-ping, Zhang ; Zhi-wei, Qi ; Jia, Liu
Author_Institution
Dept. of Computer Science and Technology, China University of Mining & Technology, Xuzhou Jiangsu 221116, China
fYear
2009
fDate
7-9 Dec. 2009
Firstpage
648
Lastpage
650
Abstract
In order to improve the defects in intrusion detection system (IDS) on network traffic anomaly detection (NTAD). A new IP based NTAD was proposed, which connected with linear regression analysis and IP adjust. This mechanism point at the features of the network, use linear regression analysis on the IP data, this can predict the abnormal traffic more accurately. The experiment results also showed the new mechanism have more accuracy and higher recall ratio.
Keywords
Anomaly Traffic; Intrusion Detection; Network Security; Prediction Model; Traffic Detection;
fLanguage
English
Publisher
iet
Conference_Titel
Wireless Mobile and Computing (CCWMC 2009), IET International Communication Conference on
Conference_Location
Shanghai, China
Type
conf
Filename
5521927
Link To Document