Statistical texture analysis methods for network traffic classification
作者： Firoz Kaderali , Thorsten Kisner , Alex Essoh
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摘要: Traffic modeling and classification is important in many areas like intrusion detection, anomalous traffic network planning or bandwidth management. A novelty the work presented this paper use of texture methods from domain digital image processing for classification. We strategies based on Co-occurence Matrices to derive statistical properties Using well known kNN-Classificator we are able distinguish different classes with a high probability.
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