Bildiri Koleksiyonu
Güncel Gönderiler
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Network traffic classification with self organizing maps
(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
(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 ... -
Network traffic classification with SELF ORGANIZING MAPS
(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 ...
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