Online Self-learning Internet Traffic Classification based on Profile and Ontology

Internet traffic classification plays important roles in numerous areas such as network management, traffic engineering, QoS provisioning etc. Prior traffic analysis is an essential requirement for existing classification schemes to classify unknown traffic. To overcome the drawback of the previous classification scheme to meet the requirements of the network activities, we propose online self-learning Internet traffic classification based on profile and ontology. We evaluate our proposed method through the experiments on real network traces. Experiment results illustrate this method can reason from existing knowledge on traffic classification for achieving an automatic traffic classification with high accuracy.