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Network intrusions will cause abnormal network traffic flow. The abnormal network traffic detection can be used to identify the network intrusions. The traditional intrusion detection system is based on pattern recognition which only can be used for well-known network attack behavior. Machine learning can be used to abstract the characters of a class of objects. In this paper we use machine learning classifiers to distinguish abnormal network traffic from the normal traffic background. Thedoi:10.12783/dtetr/ecame2017/18466 fatcat:ei52nx7lbnbo5i42ebfoql3waq