Multi-scale anomaly detection for high-speed network traffic

2013 ◽  
Vol 26 (3) ◽  
pp. 308-317 ◽  
Author(s):  
Dingde Jiang ◽  
Cheng Yao ◽  
Zhengzheng Xu ◽  
Wenda Qin
Keyword(s):  
Anomaly Detection ◽  
Network Traffic ◽  
High Speed ◽  
Multi Scale ◽  
High Speed Network

A Novel Network Traffic Anomaly Detection Based on Multi-Scale Fusion

2011 ◽  
Vol 48-49 ◽  
pp. 102-105
Author(s):  
Guo Zhen Cheng ◽  
Dong Nian Cheng ◽  
He Lei
Keyword(s):  
Anomaly Detection ◽  
False Alarm ◽  
False Alarm Rate ◽  
Network Traffic ◽  
Self Similarity ◽  
Data Set ◽  
Multi Scale ◽  
Traffic Anomaly ◽  
Detection Evaluation ◽  
Better Than

Detecting network traffic anomaly is very important for network security. But it has high false alarm rate, low detect rate and that can’t perform real-time detection in the backbone very well due to its nonlinearity, nonstationarity and self-similarity. Therefore we propose a novel detection method—EMD-DS, and prove that it can reduce mean error rate of anomaly detection efficiently after EMD. On the KDD CUP 1999 intrusion detection evaluation data set, this detector detects 85.1% attacks at low false alarm rate which is better than some other systems.

Hardware‐assisted estimation of entropy norm for high‐speed network traffic

2014 ◽  
Vol 50 (24) ◽  
pp. 1845-1847 ◽  
Author(s):  
Yu‐Kuen Lai ◽  
Theophilus Wellem ◽  
Hui‐Ping You
Keyword(s):  
Network Traffic ◽  
High Speed ◽  
High Speed Network
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