An autonomous labeling approach to support vector machines algorithms for network traffic anomaly detection

2012 ◽  
Vol 39 (2) ◽  
pp. 1822-1829 ◽  
Author(s):  
Carlos A. Catania ◽  
Facundo Bromberg ◽  
Carlos García Garino
Keyword(s):  
Support Vector Machines ◽  
Anomaly Detection ◽  
Network Traffic ◽  
Support Vector ◽  
Vector Machines ◽  
Labeling Approach ◽  
Traffic Anomaly ◽  
Traffic Anomaly Detection

Local density one-class support vector machines for anomaly detection

2010 ◽  
Vol 64 (1-2) ◽  
pp. 127-130 ◽  
Author(s):  
Jiang Tian ◽  
Hong Gu ◽  
Chiyang Gao ◽  
Jie Lian
Keyword(s):  
Support Vector Machines ◽  
Anomaly Detection ◽  
Local Density ◽  
Support Vector ◽  
Vector Machines

Evaluating Statistical Models for Network Traffic Anomaly Detection

2019 ◽  
Author(s):  
Peter Kromkowski ◽  
Shaoran Li ◽  
Wenxi Zhao ◽  
Brendan Abraham ◽  
Austin Osborne ◽  
...  
Keyword(s):  
Anomaly Detection ◽  
Network Traffic ◽  
Statistical Models ◽  
Traffic Anomaly ◽  
Traffic Anomaly Detection

Network traffic anomaly detection algorithm using mahout classifier

2019 ◽  
Vol 37 (1) ◽  
pp. 137-144 ◽  
Author(s):  
Hua Peng ◽  
Liang Liu ◽  
Jiayong Liu ◽  
Johnwb R. Lewis
Keyword(s):  
Anomaly Detection ◽  
Network Traffic ◽  
Detection Algorithm ◽  
Traffic Anomaly ◽  
Traffic Anomaly Detection
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