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Network traffic classification with self organizing maps

Kızılören, Tevfik; Germen, Emin (2007)

Anomaly detection in network traffic is one of the most challenging topics in the study of computer science and networking. This paper introduces a classification method for analyzing network traffic behavior. In order to ...
Network traffic classification with SELF ORGANIZING MAPS

Kızılören, Tevfik; Germen, Emin (IEEE, 2007)

Anomaly detection in network traffic is one of the most challenging topics in the study of computer science and networking. This paper introduces a classification method for analyzing network traffic behavior. In order to ...
Anomaly detection with self-organizing maps and effects of principal component analysis on feature vectors

Kızılören, Tevfik; Germen, Emin (2009)

Network anomaly detection is the problem of scrutinizing of unauthorized use of computer systems over a network. In literature there are plenty different methods produced for detecting network anomalies and the process of ...