scholarly journals An Unsupervised Deep Learning Model for Early Network Traffic Anomaly Detection

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 30387-30399 ◽  
Author(s):  
Ren-Hung Hwang ◽  
Min-Chun Peng ◽  
Chien-Wei Huang ◽  
Po-Ching Lin ◽  
Van-Linh Nguyen
Keyword(s):  
Deep Learning ◽  
Anomaly Detection ◽  
Network Traffic ◽  
Learning Model ◽  
Unsupervised Deep Learning ◽  
Traffic Anomaly ◽  
Deep Learning Model ◽  
Traffic Anomaly Detection

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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