Implementation of DBSCAN Algorithm for Internet Traffic Classification

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Provided by: Creative Commons
Topic: Data Management
Format: PDF
Traffic modeling and classification find importance in many areas such as bandwidth management, traffic analysis, prediction and engineering, network planning, Quality of Service provisioning and anomalous traffic detection. This paper has been done in the area of network traffic classification by application type and several classifiers are suggested. In past network traffic classification using traditional techniques such as well known port number based and payload analysis based techniques are no more effective because various applications uses port hopping and encryption technique to avoid detection.
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