scholarly journals Signal Processing Methodology for Network Anomaly Detection

10.5772/15333 ◽  
2011 ◽  
Author(s):  
Rafa Renk ◽  
Micha Chora ◽  
ukasz Saganowski ◽  
Witold Houbowicz
Keyword(s):  
Signal Processing ◽  
Anomaly Detection ◽  
Network Anomaly Detection

Network anomaly detection based on signal processing techniques

2013 ◽  
Vol 18 (1) ◽  
pp. 15-21
Author(s):  
Tomasz Andrysiak ◽  
Łukasz Saganowski ◽  
Mirosław Maszewski
Keyword(s):  
Signal Processing ◽  
Anomaly Detection ◽  
Network Traffic ◽  
Detection Method ◽  
Matching Pursuit ◽  
Matching Pursuit Decomposition ◽  
Network Anomaly Detection ◽  
Processing Techniques ◽  
Signal Processing Techniques

Abstract The article depicts possibility of using Matching Pursuit decomposition in order to recognize unspecified hazards in network traffic. Furthermore, the work aims to present feasible enhancements to the anomaly detection method, as well as their efficiency on the basis of a wide collection of pattern test traces.

scholarly journals Network Anomaly Detection using Memory-augmented Deep Autoencoder

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Byeongjun Min ◽  
JiHoon Yoo ◽  
Sangsoo Kim ◽  
Dongil Shin ◽  
Dongkyoo Shin
Keyword(s):  
Anomaly Detection ◽  
Network Anomaly Detection
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