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A model based on traffic type for DDoS attack detection in software defined networking

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In this paper, we propose a new detection model that classifies traffic before deciding which machine learning algorithm used. The flexible processing and centralized management of Software Defined Network (SDN) controller allow deploying complex algorithms and mitigation methods quickly. By setting up a testbed, we implement our model as well as evaluating the parameters of accuracy successfully. The results show that our model is able to detect attack traffic quickly and exactly. |

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